• 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.__eq__ operator we can find that which element in an array is equal to the value which is provided in the parameter.

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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]
```

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]]
```

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