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authorAlan McIntyre <alan.mcintyre@local>2008-07-03 03:51:46 +0000
committerAlan McIntyre <alan.mcintyre@local>2008-07-03 03:51:46 +0000
commit94bc330296e01d8fc0cb14aba1354ddb6d8587cc (patch)
tree1137428631e3d56ed3251a732e82dfd8778547c0 /numpy/lib/shape_base.py
parent24af452d6573d66faedff2b4b98993a8c0664e97 (diff)
downloadnumpy-94bc330296e01d8fc0cb14aba1354ddb6d8587cc.tar.gz
Use the implicit "import numpy as np" made available to all doctests instead of an explicit
import. Remove ">>>" from bartlett plotting example since it currently requires matplotlib.
Diffstat (limited to 'numpy/lib/shape_base.py')
-rw-r--r--numpy/lib/shape_base.py5
1 files changed, 2 insertions, 3 deletions
diff --git a/numpy/lib/shape_base.py b/numpy/lib/shape_base.py
index 9ac77666f..77f158eb3 100644
--- a/numpy/lib/shape_base.py
+++ b/numpy/lib/shape_base.py
@@ -192,15 +192,14 @@ def vstack(tup):
tup -- sequence of arrays. All arrays must have the same
shape.
Examples:
- >>> import numpy
>>> a = array((1,2,3))
>>> b = array((2,3,4))
- >>> numpy.vstack((a,b))
+ >>> np.vstack((a,b))
array([[1, 2, 3],
[2, 3, 4]])
>>> a = array([[1],[2],[3]])
>>> b = array([[2],[3],[4]])
- >>> numpy.vstack((a,b))
+ >>> np.vstack((a,b))
array([[1],
[2],
[3],