# Python | Numpy numpy.ndarray.__xor__()

With the help of `Numpy numpy.ndarray.__xor__()` method, we can get the elements that is XOR by the value that is provided as a parameter in `numpy.ndarray.__xor__()` method.

Syntax: ndarray.__xor__(\$self, value, /)

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 `ndarray.__xor__()` method.

 `# import the important module in python ` `import` `numpy as np ` `    `  `# make an array with numpy ` `gfg ``=` `np.array([``1``, ``2``, ``3``, ``4``, ``5``]) ` `    `  `# applying ndarray.__xor__() method ` `print``(gfg.__xor__(``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.array([[``1``, ``2``, ``3``, ``4``, ``5``], ` `                ``[``6``, ``5``, ``4``, ``3``, ``2``]]) ` `    `  `# applying ndarray.__xor__() method ` `print``(gfg.__xor__(``1``)) `

Output:

```[[0 3 2 5 4]
[7 4 5 2 3]]
```

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