numpy.ma.is_mask() 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 :

# 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 :

# 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.is_mask() function | Python

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