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author | mattip <matti.picus@gmail.com> | 2019-10-15 18:03:11 +0300 |
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committer | mattip <matti.picus@gmail.com> | 2019-10-15 18:03:11 +0300 |
commit | efaaa96767e3ca048a3cd01107d811e345e3438c (patch) | |
tree | f222075f650747f7d66115effd05626c27727319 /numpy/core/numeric.py | |
parent | 2300ae084b73ab961b7945d7b0bf4ad3162a7ce2 (diff) | |
download | numpy-efaaa96767e3ca048a3cd01107d811e345e3438c.tar.gz |
DOC: convert `None` to bare None or ``None``
Diffstat (limited to 'numpy/core/numeric.py')
-rw-r--r-- | numpy/core/numeric.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py index 6d25f864b..833dd9e47 100644 --- a/numpy/core/numeric.py +++ b/numpy/core/numeric.py @@ -292,7 +292,7 @@ def full(shape, fill_value, dtype=None, order='C'): fill_value : scalar Fill value. dtype : data-type, optional - The desired data-type for the array The default, `None`, means + The desired data-type for the array The default, None, means `np.array(fill_value).dtype`. order : {'C', 'F'}, optional Whether to store multidimensional data in C- or Fortran-contiguous |