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Python | Numpy MaskedArray.__ne__

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  • Last Updated : 27 Mar, 2019

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__ne__ operator we can find that which element in an array is not equal to the value which is provided 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 the simple boolean array that can tell us which element in an array is not equal that of provided parameter.




# import the important module in python 
import numpy as np 
  
# make an array with numpy 
gfg = np.ma.array([1, 2, 3, 4, 5, 6]) 
  
# applying MaskedArray.__ne__() method 
print(gfg.__ne__(4)) 
Output:
[ True  True  True False  True  True]

 
Example #2:




# import the 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 MaskedArray.__ne__() method 
print(gfg.__ne__(4)) 
Output:
[[ True  True  True False  True  True]
 [ True  True False  True  True  True]]
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