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authorADARSH SINGH <adarshsng090@gmail.com>2022-05-26 09:17:24 +0530
committerGitHub <noreply@github.com>2022-05-25 20:47:24 -0700
commit49f278f7c993985ab47ba1ad85cb9c69e8f2bdcc (patch)
tree7d08d0c406c3799bc8173f33d458ff2ab0b18ce2 /numpy/core/fromnumeric.py
parent42aa4465a728a9466c106258aa083a44fbd06a6c (diff)
downloadnumpy-49f278f7c993985ab47ba1ad85cb9c69e8f2bdcc.tar.gz
DOC: Fix axis naming in `argpartition` docs (#21098)
* Update fromnumeric.py Fixing DOC: typo on website for numpy.argpartition #21093 * Update fromnumeric.py Fixing Typo Co-authored-by: Sebastian Berg <sebastian@sipsolutions.net>
Diffstat (limited to 'numpy/core/fromnumeric.py')
-rw-r--r--numpy/core/fromnumeric.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py
index 9e58d9bea..6e0da47ca 100644
--- a/numpy/core/fromnumeric.py
+++ b/numpy/core/fromnumeric.py
@@ -804,7 +804,7 @@ def argpartition(a, kth, axis=-1, kind='introselect', order=None):
index_array : ndarray, int
Array of indices that partition `a` along the specified axis.
If `a` is one-dimensional, ``a[index_array]`` yields a partitioned `a`.
- More generally, ``np.take_along_axis(a, index_array, axis)``
+ More generally, ``np.take_along_axis(a, index_array, axis=axis)``
always yields the partitioned `a`, irrespective of dimensionality.
See Also