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Python | numpy.putmask() method

Last Updated : 03 Oct, 2019

With the help of numpy.putmask() method, we can change the elements in an array with the help of condition and given value by using numpy.putmask() method.

Syntax : numpy.putmask(array, condition, value)
Return : Return the array having new elements according to value.

Example #1 :
In this example we can see that by using numpy.putmask() method, we are able to get the new array with the help of a given condition and value.

# import numpy 
import numpy as np 
  
# using numpy.putmask() method 
arr = np.array([1, 2, 3, 4, 5, 6]) 
np.putmask(arr, arr % 2 == 0, 0) 
  
print(arr) 

Output :

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

Example #2 :

# import numpy 
import numpy as np 
  
# using numpy.putmask() method 
arr = np.array([[1, 2, 3], 
                [3, 2, 1], 
                [1, 2, 3]]) 
  
np.putmask(arr, arr>2, 4) 
  
print(arr) 

Output :

[[1 2 4]
[4 2 1]
[1 2 4]]

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