Compute the bit-wise XOR of two boolean arrays element-wise in Numpy

NumpyServer Side ProgrammingProgramming

To compute the bit-wise XOR of two boolean arrays element-wise, use the numpy.bitwise_xor() method in Python Numpy.

Computes the bit-wise XOR of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator ^.

The 1st and 2nd parameter are the arrays, only integer and boolean types are handled. If x1.shape != x2.shape, they must be broadcastable to a common shape.

Steps

At first, import the required library −

import numpy as np

Creating two numpy boolean arrays using the array() method −

arr1 = np.array([[False, False, False],
   [True, False, True]])
arr2 = np.array([[False, True, False],
   [False, False, False]])

Display the arrays −

print("Array 1...
", arr1) print("
Array 2...
", arr2)

Get the type of the arrays −

print("
Our Array 1 type...
", arr1.dtype) print("
Our Array 2 type...
", arr2.dtype)

Get the dimensions of the Arrays −

print("
Our Array 1 Dimensions...
",arr1.ndim) print("
Our Array 2 Dimensions...
",arr2.ndim)

Get the shape of the Arrays −

print("
Our Array 1 Shape...
",arr1.shape) print("
Our Array 2 Shape...
",arr2.shape)

To compute the bit-wise XOR of two boolean arrays element-wise, use the numpy.bitwise_xor() −

print("
Result (Bit-wise XOR)...
",np.bitwise_xor(arr1, arr2))

Example

import numpy as np

# Creating two numpy boolean arrays using the array() method
arr1 = np.array([[False, False, False],
   [True, False, True]])
arr2 = np.array([[False, True, False],
   [False, False, False]])

# Display the arrays
print("Array 1...
", arr1) print("
Array 2...
", arr2) # Get the type of the arrays print("
Our Array 1 type...
", arr1.dtype) print("
Our Array 2 type...
", arr2.dtype) # Get the dimensions of the Arrays print("
Our Array 1 Dimensions...
",arr1.ndim) print("
Our Array 2 Dimensions...
",arr2.ndim) # Get the shape of the Arrays print("
Our Array 1 Shape...
",arr1.shape) print("
Our Array 2 Shape...
",arr2.shape) # To compute the bit-wise XOR of two arrays element-wise, use the numpy.bitwise_xor() method in Python Numpy print("
Result (Bit-wise XOR)...
",np.bitwise_xor(arr1, arr2))

Output

Array 1...
[[False False False]
[ True False True]]

Array 2...
[[False True False]
[False False False]]

Our Array 1 type...
bool

Our Array 2 type...
bool

Our Array 1 Dimensions...
2

Our Array 2 Dimensions...
2

Our Array 1 Shape...
(2, 3)

Our Array 2 Shape...
(2, 3)

Result (Bit-wise XOR)...
[[False True False]
[ True False True]]
raja
Updated on 21-Feb-2022 10:55:58

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