Python | numpy.putmask() method

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.

filter_none

edit
close

play_arrow

link
brightness_4
code

# 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)

chevron_right


Output :

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



Example #2 :

filter_none

edit
close

play_arrow

link
brightness_4
code

# 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)

chevron_right


Output :

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

My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

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.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.


Article Tags :

Be the First to upvote.


Please write to us at contribute@geeksforgeeks.org to report any issue with the above content.