python-scipyHow can I use Python and NumPy to perform a XOR operation?

The XOR operation can be performed in Python using the NumPy library. The NumPy library has a logical_xor function which can be used to perform a XOR operation on two arrays.

The syntax for the logical_xor function is:

numpy.logical_xor(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])

Where x1 and x2 are the two arrays that will be used in the XOR operation.

For example:

import numpy as np

x1 = np.array([True, False, True])
x2 = np.array([True, True, False])

xor_result = np.logical_xor(x1, x2)

print(xor_result)

The output of the above code will be:

[False  True  True]

Code explanation

• import numpy as np - This imports the NumPy library and assigns it the alias np.
• x1 = np.array([True, False, True]) - This creates an array with the values True, False, and True.
• x2 = np.array([True, True, False]) - This creates an array with the values True, True, and False.
• xor_result = np.logical_xor(x1, x2) - This uses the logical_xor function to perform a XOR operation on the two arrays x1 and x2.
• print(xor_result) - This prints the result of the XOR operation.

Helpful links

• NumPy logical_xor

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