# numpy.bitwise_xor() in Python

numpy.bitwise_xor() function is used to Compute the bit-wise XOR of two array element-wise. This function computes the bit-wise XOR of the underlying binary representation of the integers in the input arrays.

Syntax : numpy.bitwise_xor(arr1, arr2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, ufunc ‘bitwise_xor’)

Parameters :
arr1 : [array_like] Input array.
arr2 : [array_like] Input array.
out : [ndarray, optional] A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned.
**kwargs : Allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function.
where : [array_like, optional] True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone.

Return : [ndarray or scalar] Result. This is a scalar if both x1 and x2 are scalars.

Code #1 : Working

 `# Python program explaining ` `# bitwise_xor() function ` ` `  `import` `numpy as geek ` `in_num1 ``=` `10` `in_num2 ``=` `11` ` `  `print` `(``"Input  number1 : "``, in_num1) ` `print` `(``"Input  number2 : "``, in_num2)  ` `   `  `out_num ``=` `geek.bitwise_xor(in_num1, in_num2)  ` `print` `(``"bitwise_xor of 10 and 11 : "``, out_num)  `

Output :

```Input  number1 :  10
Input  number2 :  11
bitwise_xor of 10 and 11 :  1
```

Code #2 :

 `# Python program explaining ` `# bitwise_xor() function ` ` `  `import` `numpy as geek ` ` `  `in_arr1 ``=` `[``2``, ``8``, ``125``] ` `in_arr2 ``=` `[``3``, ``3``, ``115``] ` `  `  `print` `(``"Input array1 : "``, in_arr1)  ` `print` `(``"Input array2 : "``, in_arr2) ` `   `  `out_arr ``=` `geek.bitwise_xor(in_arr1, in_arr2)  ` `print` `(``"Output array after bitwise_xor: "``, out_arr)  `

Output :

```Input array1 :  [2, 8, 125]
Input array2 :  [3, 3, 115]
Output array after bitwise_xor:  [ 1 11 14]
```

Code #3 :

 `# Python program explaining ` `# bitwise_xor() function ` ` `  `import` `numpy as geek ` ` `  `in_arr1 ``=` `[``True``, ``False``, ``True``, ``False``] ` `in_arr2 ``=` `[``False``, ``False``, ``True``, ``True``] ` `  `  `print` `(``"Input array1 : "``, in_arr1)  ` `print` `(``"Input array2 : "``, in_arr2) ` `   `  `out_arr ``=` `geek.bitwise_xor(in_arr1, in_arr2)  ` `print` `(``"Output array after bitwise_xor: "``, out_arr)  `

Output :

```Input array1 :  [True, False, True, False]
Input array2 :  [False, False, True, True]
Output array after bitwise_xor:  [ True False False  True]
```

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