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author | Charles Harris <charlesr.harris@gmail.com> | 2013-05-04 16:34:04 -0700 |
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committer | Charles Harris <charlesr.harris@gmail.com> | 2013-05-04 16:34:04 -0700 |
commit | dcf7cac3fcaec17f9360f5f32751cd5ca7a61e30 (patch) | |
tree | fd84b2a64ade5fdf7d0760872c195801606d7253 /numpy/lib/shape_base.py | |
parent | 4c6cfab6c056e641bb0bfc8a31feca2eb7229eb2 (diff) | |
parent | e3cd6a48108236cdee681e2de453a8aca1799125 (diff) | |
download | numpy-dcf7cac3fcaec17f9360f5f32751cd5ca7a61e30.tar.gz |
Merge pull request #3264 from endolith/patch-1
DOC: Change example to demonstrate function
Diffstat (limited to 'numpy/lib/shape_base.py')
-rw-r--r-- | numpy/lib/shape_base.py | 13 |
1 files changed, 5 insertions, 8 deletions
diff --git a/numpy/lib/shape_base.py b/numpy/lib/shape_base.py index 5357c62df..e81bae5fc 100644 --- a/numpy/lib/shape_base.py +++ b/numpy/lib/shape_base.py @@ -55,14 +55,11 @@ def apply_along_axis(func1d,axis,arr,*args): For a function that doesn't return a scalar, the number of dimensions in `outarr` is the same as `arr`. - >>> def new_func(a): - ... \"\"\"Divide elements of a by 2.\"\"\" - ... return a * 0.5 - >>> b = np.array([[1,2,3], [4,5,6], [7,8,9]]) - >>> np.apply_along_axis(new_func, 0, b) - array([[ 0.5, 1. , 1.5], - [ 2. , 2.5, 3. ], - [ 3.5, 4. , 4.5]]) + >>> b = np.array([[8,1,7], [4,3,9], [5,2,6]]) + >>> np.apply_along_axis(sorted, 1, b) + array([[1, 7, 8], + [3, 4, 9], + [2, 5, 6]]) """ arr = asarray(arr) |