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]
