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authorMatti Picus <matti.picus@gmail.com>2019-08-27 10:47:32 +0300
committerGitHub <noreply@github.com>2019-08-27 10:47:32 +0300
commit123db90bfc977165577347beaaa2849a6747593b (patch)
tree968bd687a0fad26bd085a696453753b51173fc57 /numpy/core
parentdc089026b4ad0d2d9ea992c7f1b9b5e716dd82cd (diff)
parent8c0bb22cb5b0979defe11e4befd20f7b79f5da08 (diff)
downloadnumpy-123db90bfc977165577347beaaa2849a6747593b.tar.gz
Merge pull request #14370 from ivirshup/var-dtype-docfix
DOC: Fixed dtype docs for var, nanvar.
Diffstat (limited to 'numpy/core')
-rw-r--r--numpy/core/fromnumeric.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py
index bde37fca3..3314e516e 100644
--- a/numpy/core/fromnumeric.py
+++ b/numpy/core/fromnumeric.py
@@ -3419,7 +3419,7 @@ 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