numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__eq__ operator we can find that which element in an array is equal to the value which is provided in the parameter.
Syntax: numpy.MaskedArray.__eq__
Return: self==value
Example #1 :
In this example we can see that after applying MaskedArray.__eq__(), we get the simple boolean array that can tell us which element in an array is 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.__eq__() method print(gfg.__eq__(4)) |
Output:
[False False False True False False]
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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.__eq__() method print(gfg.__eq__(4)) |
Output:
[[False False False True False False] [False False True False False False]]
