numpy.ma.mask_cols() function | Python

In thisnumpy.ma.mask_cols() function, mask columns of a 2D array that contain masked values. This function is a shortcut to mask_rowcols with axis equal to 1.

Syntax : numpy.ma.mask_cols(arr, axis = None)

Parameters :
arr : [array_like, MaskedArray] The array to mask.
axis : [int, optional] Axis along which to perform the operation. Default is None.

Return : [MaskedArray] A modified version of the input array.

Code #1 :

# Python program explaining
# numpy.ma.mask_cols() function

# importing numpy as geek
# and numpy.ma module as ma
import numpy as geek
import numpy.ma as ma

arr = geek.zeros((3, 3), dtype = int)
arr[1, 1] = 1

arr = ma.masked_equal(arr, 1)

gfg = ma.mask_cols(arr)

print (gfg)

Output :

[[0 -- 0]
 [0 -- 0]
 [0 -- 0]]

Code #2 :

# Python program explaining
# numpy.ma.mask_cols() function

# importing numpy as geek
# and numpy.ma module as ma
import numpy as geek
import numpy.ma as ma

arr = geek.zeros((4, 4), dtype = int)
arr[2, 2] = 1

arr = ma.masked_equal(arr, 1)

gfg = ma.mask_cols(arr)

print (gfg)

Output :

[[0 0 -- 0]
 [0 0 -- 0]
 [0 0 -- 0]
 [0 0 -- 0]]