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numpy.put() in Python

  • Last Updated : 22 Oct, 2020

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 :

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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 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 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])

Code Source :
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.put.html#numpy.put

Note :
These codes won’t run on online-ID. Please run them on your systems to explore the working
.
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