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-rw-r--r--numpy/core/fromnumeric.py8
1 files changed, 7 insertions, 1 deletions
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py
index 0db5663f9..d1aae0aa0 100644
--- a/numpy/core/fromnumeric.py
+++ b/numpy/core/fromnumeric.py
@@ -140,6 +140,7 @@ def take(a, indices, axis=None, out=None, mode='raise'):
--------
compress : Take elements using a boolean mask
ndarray.take : equivalent method
+ take_along_axis : Take elements by matching the array and the index arrays
Notes
-----
@@ -478,6 +479,7 @@ def put(a, ind, v, mode='raise'):
See Also
--------
putmask, place
+ put_along_axis : Put elements by matching the array and the index arrays
Examples
--------
@@ -723,7 +725,9 @@ def argpartition(a, kth, axis=-1, kind='introselect', order=None):
-------
index_array : ndarray, int
Array of indices that partition `a` along the specified axis.
- In other words, ``a[index_array]`` yields a partitioned `a`.
+ If `a` is one-dimensional, ``a[index_array]`` yields a partitioned `a`.
+ More generally, ``np.take_along_axis(a, index_array, axis=a)`` always
+ yields the partitioned `a`, irrespective of dimensionality.
See Also
--------
@@ -904,6 +908,8 @@ def argsort(a, axis=-1, kind='quicksort', order=None):
index_array : ndarray, int
Array of indices that sort `a` along the specified axis.
If `a` is one-dimensional, ``a[index_array]`` yields a sorted `a`.
+ More generally, ``np.take_along_axis(a, index_array, axis=a)`` always
+ yields the sorted `a`, irrespective of dimensionality.
See Also
--------