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| author | Charles Harris <charlesr.harris@gmail.com> | 2016-11-03 19:07:31 -0600 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2016-11-03 19:07:31 -0600 |
| commit | af818b08edc30d04cb56de0429a35ca82458e326 (patch) | |
| tree | 07f73e8ed75ce7f2ceccebec6c04d2d1cfb89f83 /numpy/core/fromnumeric.py | |
| parent | f7378efe8884cf4d79cee1d880f1daf9420bd649 (diff) | |
| download | numpy-af818b08edc30d04cb56de0429a35ca82458e326.tar.gz | |
DOC: Small fixup to the documentation.
Diffstat (limited to 'numpy/core/fromnumeric.py')
| -rw-r--r-- | numpy/core/fromnumeric.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py index 613a24a13..4cb78e3fc 100644 --- a/numpy/core/fromnumeric.py +++ b/numpy/core/fromnumeric.py @@ -2847,8 +2847,8 @@ def mean(a, axis=None, dtype=None, out=None, keepdims=np._NoValue): example below). Specifying a higher-precision accumulator using the `dtype` keyword can alleviate this issue. - `float32` intermediate are used for `float16` inputs for extra - precision by default. + By default, `float16` results are computed using `float32` intermediates + for extra precision. Examples -------- |