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authorStefan van der Walt <stefanv@berkeley.edu>2016-07-15 14:31:01 -0700
committerStefan van der Walt <stefanv@berkeley.edu>2016-07-15 14:31:01 -0700
commit209889c55989ae5cfde6d48503761af33b84e128 (patch)
tree2aa995b3169faa88c13363dbffb3291fdb0ef898 /numpy/core/fromnumeric.py
parent3ebf47b88434dcf74841f079e75c5edb57c149ad (diff)
downloadnumpy-209889c55989ae5cfde6d48503761af33b84e128.tar.gz
Fix versionadded tags
Diffstat (limited to 'numpy/core/fromnumeric.py')
-rw-r--r--numpy/core/fromnumeric.py10
1 files changed, 5 insertions, 5 deletions
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py
index 7ec522abf..7e02ff2c2 100644
--- a/numpy/core/fromnumeric.py
+++ b/numpy/core/fromnumeric.py
@@ -2157,7 +2157,7 @@ def amax(a, axis=None, out=None, keepdims=np._NoValue):
Axis or axes along which to operate. By default, flattened input is
used.
- .. versionadded: 1.7.0
+ .. versionadded:: 1.7.0
If this is a tuple of ints, the maximum is selected over multiple axes,
instead of a single axis or all the axes as before.
@@ -2258,7 +2258,7 @@ def amin(a, axis=None, out=None, keepdims=np._NoValue):
Axis or axes along which to operate. By default, flattened input is
used.
- .. versionadded: 1.7.0
+ .. versionadded:: 1.7.0
If this is a tuple of ints, the minimum is selected over multiple axes,
instead of a single axis or all the axes as before.
@@ -2794,7 +2794,7 @@ def mean(a, axis=None, dtype=None, out=None, keepdims=np._NoValue):
Axis or axes along which the means are computed. The default is to
compute the mean of the flattened array.
- .. versionadded: 1.7.0
+ .. versionadded:: 1.7.0
If this is a tuple of ints, a mean is performed over multiple axes,
instead of a single axis or all the axes as before.
@@ -2896,7 +2896,7 @@ def std(a, axis=None, dtype=None, out=None, ddof=0, keepdims=np._NoValue):
Axis or axes along which the standard deviation is computed. The
default is to compute the standard deviation of the flattened array.
- .. versionadded: 1.7.0
+ .. versionadded:: 1.7.0
If this is a tuple of ints, a standard deviation is performed over
multiple axes, instead of a single axis or all the axes as before.
@@ -3015,7 +3015,7 @@ def var(a, axis=None, dtype=None, out=None, ddof=0, keepdims=np._NoValue):
Axis or axes along which the variance is computed. The default is to
compute the variance of the flattened array.
- .. versionadded: 1.7.0
+ .. versionadded:: 1.7.0
If this is a tuple of ints, a variance is performed over multiple axes,
instead of a single axis or all the axes as before.