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authormattip <matti.picus@gmail.com>2019-10-15 18:03:11 +0300
committermattip <matti.picus@gmail.com>2019-10-15 18:03:11 +0300
commitefaaa96767e3ca048a3cd01107d811e345e3438c (patch)
treef222075f650747f7d66115effd05626c27727319 /numpy/core/numeric.py
parent2300ae084b73ab961b7945d7b0bf4ad3162a7ce2 (diff)
downloadnumpy-efaaa96767e3ca048a3cd01107d811e345e3438c.tar.gz
DOC: convert `None` to bare None or ``None``
Diffstat (limited to 'numpy/core/numeric.py')
-rw-r--r--numpy/core/numeric.py2
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