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]
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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]]
