diff options
| author | Jaime <jaime.frio@gmail.com> | 2016-09-07 13:38:37 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2016-09-07 13:38:37 +0200 |
| commit | b91e8d8f164731bb710cc1e5173cc8ec3f8fadf5 (patch) | |
| tree | 04f0140e866c8519c080454e6e2978eb28039a02 /numpy/lib/nanfunctions.py | |
| parent | 96025b94ba3e7e38188de2bc224cde8df2ef5476 (diff) | |
| parent | 0a9fb7b7ea94b3d7554ca29c3a40057d22ec1f01 (diff) | |
| download | numpy-b91e8d8f164731bb710cc1e5173cc8ec3f8fadf5.tar.gz | |
Merge pull request #8021 from pdebuyl/spelling_doc
DOC: change all non-code instances of Numpy to NumPy
Diffstat (limited to 'numpy/lib/nanfunctions.py')
| -rw-r--r-- | numpy/lib/nanfunctions.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/numpy/lib/nanfunctions.py b/numpy/lib/nanfunctions.py index 7f7aea9bc..c024055ba 100644 --- a/numpy/lib/nanfunctions.py +++ b/numpy/lib/nanfunctions.py @@ -204,7 +204,7 @@ def nanmin(a, axis=None, out=None, keepdims=np._NoValue): Notes ----- - Numpy uses the IEEE Standard for Binary Floating-Point for Arithmetic + NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic (IEEE 754). This means that Not a Number is not equivalent to infinity. Positive infinity is treated as a very large number and negative infinity is treated as a very small (i.e. negative) number. @@ -311,7 +311,7 @@ def nanmax(a, axis=None, out=None, keepdims=np._NoValue): Notes ----- - Numpy uses the IEEE Standard for Binary Floating-Point for Arithmetic + NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic (IEEE 754). This means that Not a Number is not equivalent to infinity. Positive infinity is treated as a very large number and negative infinity is treated as a very small (i.e. negative) number. @@ -453,7 +453,7 @@ def nansum(a, axis=None, dtype=None, out=None, keepdims=np._NoValue): Return the sum of array elements over a given axis treating Not a Numbers (NaNs) as zero. - In Numpy versions <= 1.8 Nan is returned for slices that are all-NaN or + In NumPy versions <= 1.8.0 Nan is returned for slices that are all-NaN or empty. In later versions zero is returned. Parameters |