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numpy.put() in Python

Last Updated : 08 Mar, 2024

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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