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numpy.put() in Python
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numpy.put() in Python

Last Updated : 08 Mar, 2024
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The numpy.put() function replaces specific elements of an array with given values of p_array. Array indexed works on flattened array. 
 

Syntax: numpy.put(array, indices, p_array, mode = 'raise')


Parameters : 

array   : array_like, target array  indices : index of the values to be fetched  p_array : array_like, values to be placed in target array  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


 

Python
# Python Program explaining # numpy.put()  import numpy as geek  a = geek.arange(5) geek.put(a, [0, 2], [-44, -55]) print("After put : \n", a) 

Output : 

After put :   [-44,   1, -55,   3,   4]


 

Python
# Python Program explaining # numpy.put()  import numpy as geek  a = geek.arange(5) geek.put(a, 22, -5, mode='clip') print("After put : \n", a) 

Output : 

array([ 0,  1,  2,  3, -5])


Note : 
These codes won't run on online IDE's. So please, run them on your systems to explore the working. 


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numpy.put() in Python

M

Mohit Gupta
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Article Tags :
  • Python
  • Python-numpy
  • Python numpy-Indexing
Practice Tags :
  • python

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