numpy.ma.make_mask_none() function | Python (original) (raw)

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]

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