numpy.ma.masked_all_like() function | Python

numpy.ma.masked_all() function | Python

Last Updated : 05 May, 2020

numpy.ma.masked_all() function return an empty masked array of the given shape and dtype, where all the data are masked.

Syntax : numpy.ma.masked_all(shape, dtype) Parameter : shape : [tuple] Shape of the required MaskedArray. dtype : [dtype, optional] Data type of the output. Return : [MaskedArray] A masked array with all data masked.

Code #1 :

Python3

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

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

gfg = ma.masked_all((4, 4))

print (gfg)

Output :

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

Code #2 :

Python3

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

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

gfg = ma.masked_all((3, 3), dtype = geek.int32)

print (gfg)

Output :

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

numpy.ma.masked_all_like() function | Python

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