numpy.ma.MaskedArray.nonzero() function - Python

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 :

Python3

# 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 :

Python3

# 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]

numpy.ma.MaskedArray.nonzero() function - Python

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