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| author | Isaac Virshup <ivirshup@gmail.com> | 2019-08-27 12:32:52 +1000 |
|---|---|---|
| committer | Isaac Virshup <ivirshup@gmail.com> | 2019-08-27 12:39:32 +1000 |
| commit | 8c0bb22cb5b0979defe11e4befd20f7b79f5da08 (patch) | |
| tree | 941da3259784ec405479420d36118ea7627810ae /numpy/core | |
| parent | d037f06c85bf15140084e537d12d6cf9c5cf4fa2 (diff) | |
| download | numpy-8c0bb22cb5b0979defe11e4befd20f7b79f5da08.tar.gz | |
DOC: Fixed dtype docs for var, nanvar.
Docs incorrectly stated that the default output dtype was float32 when
input array is of an integer dtype. However:
```python
np.var(np.random.randint(0, 100, 1000)).dtype == np.dtype("f8")
```
Diffstat (limited to 'numpy/core')
| -rw-r--r-- | numpy/core/fromnumeric.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py index 08f17aae4..c37dbc5df 100644 --- a/numpy/core/fromnumeric.py +++ b/numpy/core/fromnumeric.py @@ -3410,7 +3410,7 @@ def var(a, axis=None, dtype=None, out=None, ddof=0, keepdims=np._NoValue): instead of a single axis or all the axes as before. dtype : data-type, optional Type to use in computing the variance. For arrays of integer type - the default is `float32`; for arrays of float types it is the same as + the default is `float64`; for arrays of float types it is the same as the array type. out : ndarray, optional Alternate output array in which to place the result. It must have |