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| author | Nathaniel J. Smith <njs@pobox.com> | 2016-07-15 18:11:28 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2016-07-15 18:11:28 -0700 |
| commit | 3a94389f5c76a8ea45f160582681aaa3e7eef0e1 (patch) | |
| tree | 2aa995b3169faa88c13363dbffb3291fdb0ef898 /numpy/core/fromnumeric.py | |
| parent | 3ebf47b88434dcf74841f079e75c5edb57c149ad (diff) | |
| parent | 209889c55989ae5cfde6d48503761af33b84e128 (diff) | |
| download | numpy-3a94389f5c76a8ea45f160582681aaa3e7eef0e1.tar.gz | |
Merge pull request #7842 from stefanv/versionadded_typos
Fix versionadded tags
Diffstat (limited to 'numpy/core/fromnumeric.py')
| -rw-r--r-- | numpy/core/fromnumeric.py | 10 |
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. |