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author | jeremycl01 <jlay80@gmail.com> | 2019-05-25 17:12:49 -0500 |
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committer | GitHub <noreply@github.com> | 2019-05-25 17:12:49 -0500 |
commit | a21c6902687235c6862570d8ddeb485fab07090b (patch) | |
tree | 7d3ee81fbc901d195fb582c9e398eadffd375b71 /numpy/core/numeric.py | |
parent | be9a134202e097d7d279425bdb137409084fe115 (diff) | |
download | numpy-a21c6902687235c6862570d8ddeb485fab07090b.tar.gz |
DOC: fixed formatting on isfortran doc
Diffstat (limited to 'numpy/core/numeric.py')
-rw-r--r-- | numpy/core/numeric.py | 6 |
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 - + This function is obsolete and, because of changes due to relaxed stride checking, its return value for the same array may differ for versions of NumPy 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 |