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numpy.ma.make_mask_none() function | Python

  • Last Updated : 22 Apr, 2020

numpy.ma.make_mask_none() function return a boolean mask of the given shape, filled with False.
This function returns a boolean ndarray with all entries False, that can be used in common mask manipulations. If a complex dtype is specified, the type of each field is converted to a boolean type.

Syntax : numpy.ma.make_mask_none(newshape, dtype = None)

Parameters :
newshape : [tuple] A tuple indicating the shape of the mask.
dtype : [{None, dtype}, optional] By default, the dtype is None. Otherwise, use a new datatype with the same fields as dtype, converted to boolean types.

Return : [ndarray] An ndarray of appropriate shape and dtype, filled with False.

Code #1 :






# Python program explaining
# numpy.ma.make_mask_none() function
  
# importing numpy as geek  
# and numpy.ma module as ma 
import numpy as geek 
import numpy.ma as ma 
  
gfg = ma.make_mask_none(4)
  
print (gfg)

Output :

[False False False False]

 
Code #2 :




# Python program explaining
# numpy.ma.make_mask_none() function
  
# importing numpy as geek  
# and numpy.ma module as ma 
import numpy as geek 
import numpy.ma as ma 
  
gfg = ma.make_mask_none(4, dtype = None)
  
print (gfg)

Output :

[False False False False]

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