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 aliasnp
.x1 = np.array([True, False, True])
- This creates an array with the valuesTrue
,False
, andTrue
.x2 = np.array([True, True, False])
- This creates an array with the valuesTrue
,True
, andFalse
.xor_result = np.logical_xor(x1, x2)
- This uses thelogical_xor
function to perform a XOR operation on the two arraysx1
andx2
.print(xor_result)
- This prints the result of the XOR operation.
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