Python | Numpy MaskedArray .__ ne__



numpy.ma.MaskedArray class is a subclass of ndarray for working with numeric arrays with missing data. With the Numpy operator MaskedArray .__ ne__ we can determine which element in the array is not equal to the value specified in the parameter.

Syntax: numpy.MaskedArray .__ ne__

Return: self! = Value

Example # 1:
In this example, we can see that after applying MaskedArray .__ ne __ () we get a simple boolean array that can tell us which element in the array is not equal to an element of the supplied parameter.

# import important module in python

import numpy as np 

 
# make an array with NumPy

gfg = np.ma.array ([ 1 , 2 , 3 , 4 , 5 , 6 ]) 

  
# applying the MaskedArray method .__ ne __ ()

print (gfg .__ ne __ ( 4 )) 

Exit:

 [True True True False True True] 

Example # 2:

# import important module in python

import numpy as np 

 
# make an array with NumPy

gfg = np.ma.array ([[ 1 , 2 , 3 , 4 , 5 , 6 ] , 

[ 6 , 5 , 4 , 3 , 2 , 1 ]]) 

  
# applying the MaskedArray method .__ ne __ ()

print (gfg .__ ne __ ( 4 )) 

Exit:

 [[True True True False True True] [True True False True True True]]