8000 Remove unused imports. · matplotlib/matplotlib@5f69c05 · GitHub
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Remove unused imports.
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4 files changed

+7
-11
lines changed

4 files changed

+7
-11
lines changed

‎lib/matplotlib/tests/test_image.py

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@@ -11,8 +11,8 @@
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from matplotlib.testing.decorators import (image_comparison,
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knownfailureif, cleanup)
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from matplotlib.image import (BboxImage, imread, NonUniformImage,
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AxesImage, FigureImage, PcolorImage)
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from matplotlib.image import (AxesImage, BboxImage, FigureImage,
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NonUniformImage, PcolorImage)
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from matplotlib.transforms import Bbox, Affine2D, TransformedBbox
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from matplotlib import rcParams, rc_context
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from matplotlib import patches

‎lib/matplotlib/tests/test_path.py

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@@ -2,8 +2,6 @@
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unicode_literals)
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import copy
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import six
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import numpy as np
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from numpy.testing import assert_array_equal

‎lib/matplotlib/tests/test_patheffects.py

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@@ -1,8 +1,6 @@
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from __future__ import (absolute_import, division, print_function,
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unicode_literals)
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import six
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import numpy as np
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from matplotlib.testing.decorators import (image_comparison, cleanup,

‎lib/matplotlib/tests/test_pickle.py

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@@ -3,7 +3,7 @@
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import six
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from six.moves import cPickle as pickle
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from six.moves import xrange
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from six.moves import range
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from io import BytesIO
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@@ -104,7 +104,7 @@ def test_simple():
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pickle.dump(ax, BytesIO(), pickle.HIGHEST_PROTOCOL)
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ax = plt.axes(projection='polar')
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plt.plot(list(xrange(10)), label='foobar')
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plt.plot(np.arange(10), label='foobar')
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plt.legend()
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# Uncomment to debug any unpicklable objects. This is slow so is not
@@ -117,12 +117,12 @@ def test_simple():
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# pickle.dump(ax, BytesIO(), pickle.HIGHEST_PROTOCOL)
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plt.figure()
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plt.bar(left=list(xrange(10)), height=list(xrange(10)))
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plt.bar(left=np.arange(10), height=np.arange(10))
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pickle.dump(plt.gca(), BytesIO(), pickle.HIGHEST_PROTOCOL)
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fig = plt.figure()
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ax = plt.axes()
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plt.plot(list(xrange(10)))
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plt.plot(np.arange(10))
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ax.set_yscale('log')
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pickle.dump(fig, BytesIO(), pickle.HIGHEST_PROTOCOL)
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@@ -140,7 +140,7 @@ def test_complete():
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v = np.sin(v * -0.6)
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plt.subplot(3, 3, 1)
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plt.plot(list(xrange(10)))
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plt.plot(list(range(10))) # Ensure lists also pickle correctly.
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plt.subplot(3, 3, 2)
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plt.contourf(data, hatches=['//', 'ooo'])

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