numpy.ma.masked_all_like() function | Python

numpy.ma.masked_all_like() function return an empty masked array of the same shape and dtype as the array arr, where all the data are masked.

Syntax : numpy.ma.masked_all_like(arr)

Parameter :
arr : [ndarray] An array describing the shape and dtype of the required MaskedArray.

Return : [MaskedArray] A masked array with all data masked.

Code #1 :

# Python program explaining
# numpy.ma.masked_all_like() 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 = geek.float32)

gfg = ma.masked_all_like(arr)

print (gfg)

Output :

[[-- -- -- --]
 [-- -- -- --]
 [-- -- -- --]
 [-- -- -- --]]

Code #2 :

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

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

arr = geek.zeros((4, 3), dtype = geek.float32)

gfg = ma.masked_all_like(arr)

print (gfg)

Output :

[[-- -- --]
 [-- -- --]
 [-- -- --]
 [-- -- --]]