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Convert docstring of Axes.pie() into numpydoc #8357

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Convert docstring of Axes.pie() into numpydoc #8357

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ea9250d
numpydocstring added
kahnchana Mar 21, 2017
d4d912b
.
kahnchana Mar 21, 2017
ce79bfe
Merge remote-tracking branch 'refs/remotes/matplotlib/master' into do…
kahnchana Mar 22, 2017
492b0ac
Revert "numpydocstring added"
kahnchana Mar 22, 2017
50aa3ff
Docstring to Numpydoc
kahnchana Mar 22, 2017
17570af
Merge remote-tracking branch 'refs/remotes/matplotlib/master'
kahnchana Mar 22, 2017
9b6c50b
Merge remote-tracking branch 'refs/remotes/origin/master' into docstring
kahnchana Mar 22, 2017
8df19bd
FIX small nitpicks
kahnchana Mar 22, 2017
f570978
removed duplicate matplotlib.transforms import
sindunuragarp Mar 16, 2017
027cbae
Standardized matplotlib transforms import
sindunuragarp Mar 19, 2017
34f688b
Reconfigured line to comply with pep8 length
sindunuragarp Mar 20, 2017
03bacb8
Removed additional pep8 e501 error caused by mtransforms
sindunuragarp Mar 21, 2017
465a453
STY: pep8 cleanup
tacaswell Mar 10, 2017
6e451f1
MNT: explicitly pass in file handle to print_figure_impl
tacaswell Mar 10, 2017
710b509
FIX: always remove the temporary file in eps print_figure
tacaswell Mar 10, 2017
9f53b14
STY: pep8 clean up
tacaswell Mar 10, 2017
b9ff429
FIX: always remove the temporary file in eps print_figure_tex
tacaswell Mar 10, 2017
c3d012a
Revert "numpydocstring added"
kahnchana Mar 22, 2017
d12a3cd
Docstring to Numpydoc
kahnchana Mar 22, 2017
0b4909a
FIX small nitpicks
kahnchana Mar 22, 2017
8e54067
Merge branch 'docstring' of https://github.com/kahnchana/matplotlib i…
kahnchana Mar 22, 2017
a0c7bd8
Made style changes and edits suggested
kahnchana Mar 22, 2017
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Removed additional pep8 e501 error caused by mtransforms
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@sindunuragarp @kahnchana
sindunuragarp authored and kahnchana committed Mar 22, 2017
commit 03bacb800340816e15c9c13ae341aa206078674c
11 changes: 6 additions & 5 deletions lib/matplotlib/colorbar.py
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Original file line number Diff line number Diff line change
Expand Up @@ -687,9 +687,10 @@ def _process_values(self, b=None):
self.norm.vmin = 0
self.norm.vmax = 1

self.norm.vmin, self.norm.vmax = mtransforms.nonsingular(self.norm.vmin,
self.norm.vmax,
expander=0.1)
self.norm.vmin, self.norm.vmax = mtransforms.nonsingular(
self.norm.vmin,
self.norm.vmax,
expander=0.1)

b = self.norm.inverse(self._uniform_y(self.cmap.N + 1))

Expand Down Expand Up @@ -1126,8 +1127,8 @@ def make_axes(parents, location=None, orientation=None, fraction=0.15,
'parents share the same figure.')

# take a bounding box around all of the given axes
parents_bbox = mtransforms.Bbox.union([ax.get_position(original=True).frozen()
for ax in parents])
parents_bbox = mtransforms.Bbox.union(
[ax.get_position(original=True).frozen() for ax in parents])

pb = parents_bbox
if location in ('left', 'right'):
Expand Down
12 changes: 7 additions & 5 deletions lib/matplotlib/tests/test_transforms.py
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Expand Up @@ -62,7 +62,8 @@ def __init__(self, scale_factor):
self._scale_factor = scale_factor

def _as_mpl_transform(self, axes):
return mtransforms.Affine2D().scale(self._scale_factor) + axes.transData
return (mtransforms.Affine2D().scale(self._scale_factor)
+ axes.transData)

ax = plt.axes()
line, = plt.plot(np.arange(10), transform=ScaledBy(10))
Expand Down Expand Up @@ -191,7 +192,7 @@ def test_clipping_of_log():

# something like this happens in plotting logarithmic histograms
trans = mtransforms.BlendedGenericTransform(mtransforms.Affine2D(),
LogScale.Log10Transform('clip'))
LogScale.Log10Transform('clip'))
tpath = trans.transform_path_non_affine(path)
result = tpath.iter_segments(trans.get_affine(),
clip=(0, 0, 100, 100),
Expand Down Expand Up @@ -379,7 +380,8 @@ def test_line_extent_compound_coords1(self):
# a simple line in data coordinates in the y component, and in axes
# coordinates in the x
ax = plt.axes()
trans = mtransforms.blended_transform_factory(ax.transAxes, ax.transData)
trans = mtransforms.blended_transform_factory(ax.transAxes,
ax.transData)
ax.plot([0.1, 1.2, 0.8], [35, -5, 18], transform=trans)
assert_array_equal(ax.dataLim.get_points(),
np.array([[np.inf, -5.],
Expand All @@ -399,8 +401,8 @@ def test_line_extent_compound_coords2(self):
# a simple line in (offset + data) coordinates in the y component, and
# in axes coordinates in the x
ax = plt.axes()
trans = mtransforms.blended_transform_factory(
ax.transAxes, mtransforms.Affine2D().scale(10) + ax.transData)
trans = mtransforms.blended_transform_factory(ax.transAxes,
mtransforms.Affine2D().scale(10) + ax.transData)
ax.plot([0.1, 1.2, 0.8], [35, -5, 18], transform=trans)
assert_array_equal(ax.dataLim.get_points(),
np.array([[np.inf, -50.], [-np.inf, 350.]]))
Expand Down