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authorrgommers <ralf.gommers@googlemail.com>2010-07-31 10:04:38 +0000
committerrgommers <ralf.gommers@googlemail.com>2010-07-31 10:04:38 +0000
commitd0a25f19139a2987af5a4e2d1ebf4badb2802c16 (patch)
tree3d7218398060ce0c4f9d9d37241764fd57a8314a /numpy/lib/shape_base.py
parentc38c9d4cd338cc147b67f1f160d69ab7ef0df097 (diff)
downloadnumpy-d0a25f19139a2987af5a4e2d1ebf4badb2802c16.tar.gz
DOC: wiki merge, twodim_base and a few loose ones.
Diffstat (limited to 'numpy/lib/shape_base.py')
-rw-r--r--numpy/lib/shape_base.py17
1 files changed, 8 insertions, 9 deletions
diff --git a/numpy/lib/shape_base.py b/numpy/lib/shape_base.py
index ff187c63b..5ea2648cb 100644
--- a/numpy/lib/shape_base.py
+++ b/numpy/lib/shape_base.py
@@ -126,27 +126,26 @@ def apply_over_axes(func, a, axes):
`func` is called as `res = func(a, axis)`, where `axis` is the first
element of `axes`. The result `res` of the function call must have
- either the same dimensions as `a` or one less dimension. If `res` has one
- less dimension than `a`, a dimension is inserted before `axis`.
- The call to `func` is then repeated for each axis in `axes`,
+ either the same dimensions as `a` or one less dimension. If `res`
+ has one less dimension than `a`, a dimension is inserted before
+ `axis`. The call to `func` is then repeated for each axis in `axes`,
with `res` as the first argument.
Parameters
----------
func : function
This function must take two arguments, `func(a, axis)`.
- a : ndarray
+ a : array_like
Input array.
axes : array_like
- Axes over which `func` is applied, the elements must be
- integers.
+ Axes over which `func` is applied; the elements must be integers.
Returns
-------
val : ndarray
- The output array. The number of dimensions is the same as `a`, but
- the shape can be different. This depends on whether `func` changes
- the shape of its output with respect to its input.
+ The output array. The number of dimensions is the same as `a`,
+ but the shape can be different. This depends on whether `func`
+ changes the shape of its output with respect to its input.
See Also
--------