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authorjeremycl01 <jlay80@gmail.com>2019-05-25 17:12:49 -0500
committerGitHub <noreply@github.com>2019-05-25 17:12:49 -0500
commita21c6902687235c6862570d8ddeb485fab07090b (patch)
tree7d3ee81fbc901d195fb582c9e398eadffd375b71 /numpy/core/numeric.py
parentbe9a134202e097d7d279425bdb137409084fe115 (diff)
downloadnumpy-a21c6902687235c6862570d8ddeb485fab07090b.tar.gz
DOC: fixed formatting on isfortran doc
Diffstat (limited to 'numpy/core/numeric.py')
-rw-r--r--numpy/core/numeric.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py
index 3c64f9aa1..0eee8d10e 100644
--- a/numpy/core/numeric.py
+++ b/numpy/core/numeric.py
@@ -473,17 +473,17 @@ def count_nonzero(a, axis=None):
def isfortran(a):
"""
Check if the array is Fortran contiguous but *not* C contiguous.
-
+
This function is obsolete and, because of changes due to relaxed stride
checking, its return value for the same array may differ for versions
of NumPy >= 1.10.0 and previous versions. If you only want to check if an
array is Fortran contiguous use ``a.flags.f_contiguous`` instead.
-
+
Parameters
----------
a : ndarray
Input array.
-
+
Returns
-------
isfortran : bool