numpy.mask_indices() function | Python

numpy.mask_indices() function | Python

Last Updated : 22 Apr, 2020

numpy.mask_indices() function return the indices to access (n, n) arrays, given a masking function.

Syntax : numpy.mask_indices(n, mask_func, k = 0) Parameters : n : [int] The returned indices will be valid to access arrays of shape (n, n). mask_func : [callable] A function whose call signature is similar to that of triu, tril. k : [scalar] An optional argument which is passed through to mask_func. Return : [tuple of arrays] The n arrays of indices corresponding to the locations where mask_func(np.ones((n, n)), k) is True.

Code #1 :

Python3

# Python program explaining
# numpy.mask_indices() function

# importing numpy as geek 
import numpy as geek

gfg = geek.mask_indices(3, geek.triu)

print (gfg)

Output :

(array([0, 0, 0, 1, 1, 2]), array([0, 1, 2, 1, 2, 2]))

Code #2 :

Python3

# Python program explaining
# numpy.mask_indices() function

# importing numpy as geek 
import numpy as geek

gfg = geek.mask_indices(3, geek.triu, 1)

print (gfg)

Output :

(array([0, 0, 1]), array([1, 2, 2]))

numpy.mask_indices() function | Python

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