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numpy.take() in Python

  • Last Updated : 22 Oct, 2020

The numpy.take() function returns elements from array along the mentioned axis and indices.

Syntax: numpy.take(array, indices, axis = None, out = None, mode ='raise')

Parameters :

array   : array_like, input array
indices : index of the values to be fetched
axis    : [int, optional] axis over which we need to fetch the elements; 
                  By Default[axis = None], flattened input is used
mode    : [{‘raise’, ‘wrap’, ‘clip’}, optional] mentions how out-of-bound indices will behave
                  raise : [default]raise an error 
                  wrap  : wrap around
                  clip  : clip to the range
out     : [ndarray, optional]to place result within array

Returns :

ndarray; array has the same type




# Python Program illustrating
# numpy.take method
  
import numpy as geek
  
#array = geek.arange(10).reshape(2, 5)
array = [[5, 6, 2, 7, 1],
         [4, 9, 2, 9, 3]]
print("Original array : \n", array)
  
# indices = [0, 4]
print("\nTaking Indices\n", geek.take(array, [0, 4]))
  
# indices = [0, 4] with axis = 1
print("\nTaking Indices\n", geek.take(array, [0, 4], axis = 1))

Output :

Original array : 
 [[5, 6, 2, 7, 1], [4, 9, 2, 9, 3]]

Taking Indices
 [5 1]

Taking Indices
 [[5 1]
 [4 3]]

References :
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.take.html#numpy.take
Note :
These codes won’t run on online-ID. Please run them on your systems to explore the working.
This article is contributed by Mohit Gupta_OMG 😀. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.



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