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authorHameer Abbasi <einstein.edison@gmail.com>2019-10-08 02:22:41 +0500
committerHameer Abbasi <einstein.edison@gmail.com>2019-10-08 02:22:41 +0500
commit2246f68b1af3f27bce9cbee3a49aa10e1dd7cb80 (patch)
tree6eaa55f3167512cc044304512be5ac87f215d9ff /numpy/lib/nanfunctions.py
parent750a59e9310ff1226ff2912fc29a815c2ce07ed2 (diff)
parentd2c57616d369fdb5b4ea22b77d314785b1a0508e (diff)
downloadnumpy-2246f68b1af3f27bce9cbee3a49aa10e1dd7cb80.tar.gz
Merge branch 'uarray' into uarray-me
Diffstat (limited to 'numpy/lib/nanfunctions.py')
-rw-r--r--numpy/lib/nanfunctions.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/lib/nanfunctions.py b/numpy/lib/nanfunctions.py
index 9a03d0b39..6cffab6ac 100644
--- a/numpy/lib/nanfunctions.py
+++ b/numpy/lib/nanfunctions.py
@@ -1443,7 +1443,7 @@ def nanvar(a, axis=None, dtype=None, out=None, ddof=0, keepdims=np._NoValue):
the variance of the flattened array.
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