• Last Updated : 23 Apr, 2019

`numpy.ma.MaskedArray class` is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__ixor__we can get the elements that is XOR by the value that is provided as a parameter in the MaskedArray.__ixor__() method.

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Return: Return self^=value.

Example #1 :
In this example we can see that every element is XOR by the value that is passed as a parameter in MaskedArray.__ixor__() method.

 `# import the important module in python ``import` `numpy as np ``     ` `# make an array with numpy ``gfg ``=` `np.ma.array([``1``, ``2``, ``3``, ``4``, ``5``]) ``     ` `# applying MaskedArray.__ixor__() method ``print``(gfg.__ixor__(``2``)) `` `
Output:
```[3 0 1 6 7]
```

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``, ``5``, ``4``, ``3``, ``2``]]) ``     ` `# applying MaskedArray.__ixor__() method ``print``(gfg.__ixor__(``1``)) `
Output:
```[[0 3 2 5 4]
[7 4 5 2 3]]
```

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