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authorTyler Reddy <tyler.je.reddy@gmail.com>2019-01-02 11:12:00 -0800
committerTyler Reddy <tyler.je.reddy@gmail.com>2019-01-02 11:12:00 -0800
commita5078dcd66590d5e127b99b74e86f3d27cc75913 (patch)
treef28925dde0c04b2f1925aaea088629b555b83d8e /numpy/lib/twodim_base.py
parent49a798c27d08f244207829c57d9621c9514e8c82 (diff)
downloadnumpy-a5078dcd66590d5e127b99b74e86f3d27cc75913.tar.gz
DOC, TST: clean up matplotlib imports
* as requested by review in gh-12634, the vast majority of docstring matplotlib imports can be simplified to a single line
Diffstat (limited to 'numpy/lib/twodim_base.py')
-rw-r--r--numpy/lib/twodim_base.py6
1 files changed, 2 insertions, 4 deletions
diff --git a/numpy/lib/twodim_base.py b/numpy/lib/twodim_base.py
index aa57911bb..e165c9b02 100644
--- a/numpy/lib/twodim_base.py
+++ b/numpy/lib/twodim_base.py
@@ -644,9 +644,7 @@ def histogram2d(x, y, bins=10, range=None, normed=None, weights=None,
Examples
--------
- >>> import matplotlib
- >>> import matplotlib.pyplot
- >>> import matplotlib as mpl
+ >>> from matplotlib.image import NonUniformImage
>>> import matplotlib.pyplot as plt
Construct a 2-D histogram with variable bin width. First define the bin
@@ -683,7 +681,7 @@ def histogram2d(x, y, bins=10, range=None, normed=None, weights=None,
>>> ax = fig.add_subplot(133, title='NonUniformImage: interpolated',
... aspect='equal', xlim=xedges[[0, -1]], ylim=yedges[[0, -1]])
- >>> im = mpl.image.NonUniformImage(ax, interpolation='bilinear')
+ >>> im = NonUniformImage(ax, interpolation='bilinear')
>>> xcenters = (xedges[:-1] + xedges[1:]) / 2
>>> ycenters = (yedges[:-1] + yedges[1:]) / 2
>>> im.set_data(xcenters, ycenters, H)