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authorCharles Harris <charlesr.harris@gmail.com>2013-06-21 10:28:41 -0600
committerCharles Harris <charlesr.harris@gmail.com>2013-08-12 22:33:55 -0600
commit1b6b8719735ca3e98a0a0c3f492f16ff00ba1aa9 (patch)
tree1042eabf7cc7335c3813a5bdc537b79924f31bbd /numpy/core/fromnumeric.py
parentfcb0fef5c673ed0a5442b18bcd8c391907b4f9a7 (diff)
downloadnumpy-1b6b8719735ca3e98a0a0c3f492f16ff00ba1aa9.tar.gz
MAINT: Clean up core/_methods.py and core/fromnumeric.py
Use issubclass instead of issubdtype. Add some blank lines. Remove trailing whitespace. Remove uneeded float casts since true_divide is default. Clean up documentation a bit.
Diffstat (limited to 'numpy/core/fromnumeric.py')
-rw-r--r--numpy/core/fromnumeric.py13
1 files changed, 5 insertions, 8 deletions
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py
index 35d36d960..e325c5fd1 100644
--- a/numpy/core/fromnumeric.py
+++ b/numpy/core/fromnumeric.py
@@ -62,9 +62,9 @@ def take(a, indices, axis=None, out=None, mode='raise'):
The source array.
indices : array_like
The indices of the values to extract.
-
+
.. versionadded:: 1.8.0
-
+
Also allow scalars for indices.
axis : int, optional
The axis over which to select values. By default, the flattened
@@ -2664,8 +2664,7 @@ def mean(a, axis=None, dtype=None, out=None, keepdims=False):
See Also
--------
average : Weighted average
- nanmean : Arithmetic mean while ignoring NaNs
- var, nanvar
+ std, var, nanmean, nanstd, nanvar
Notes
-----
@@ -2752,8 +2751,7 @@ def std(a, axis=None, dtype=None, out=None, ddof=0, keepdims=False):
See Also
--------
- var, mean
- nanmean, nanstd
+ var, mean, nanmean, nanstd, nanvar
numpy.doc.ufuncs : Section "Output arguments"
Notes
@@ -2856,8 +2854,7 @@ def var(a, axis=None, dtype=None, out=None, ddof=0,
See Also
--------
- std : Standard deviation
- mean : Average
+ std , mean, nanmean, nanstd, nanvar
numpy.doc.ufuncs : Section "Output arguments"
Notes