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

NumpyServer Side ProgrammingProgramming

To compute the bit-wise XOR of two 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.

The where parameter is the condition broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default out=None, locations within it where the condition is False will remain uninitialized.

Steps

At first, import the required library −

import numpy as np

Creating two numpy arrays using the array() method. We have inserted elements of int type −

arr1 = np.array([[93, 43, 61], [82, 69, 29]])
arr2 = np.array([[29, 14, 56], [81, 55, 32]])

Display the arrays −

print("Array 1...\n", arr1)
print("\nArray 2...\n", arr2)

Get the type of the arrays −

print("\nOur Array 1 type...\n", arr1.dtype)
print("\nOur Array 2 type...\n", arr2.dtype)

Get the dimensions of the Arrays −

print("\nOur Array 1 Dimensions...\n",arr1.ndim)
print("\nOur Array 2 Dimensions...\n",arr2.ndim)

Get the shape of the Arrays −

print("\nOur Array 1 Shape...\n",arr1.shape)
print("\nOur Array 2 Shape...\n",arr2.shape)

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

print("\nResult (bit-wise XOR)...\n",np.bitwise_xor(arr1, arr2))

Example

import numpy as np

# Creating two numpy arrays using the array() method
# We have inserted elements of int type
arr1 = np.array([[93, 43, 61], [82, 69, 29]])
arr2 = np.array([[29, 14, 56], [81, 55, 32]])

# Display the arrays
print("Array 1...\n", arr1)
print("\nArray 2...\n", arr2)

#Get the type of the arrays
print("\nOur Array 1 type...\n", arr1.dtype)
print("\nOur Array 2 type...\n", arr2.dtype)

# Get the dimensions of the Arrays
print("\nOur Array 1 Dimensions...\n",arr1.ndim)
print("\nOur Array 2 Dimensions...\n",arr2.ndim)

# Get the shape of the Arrays
print("\nOur Array 1 Shape...\n",arr1.shape)
print("\nOur Array 2 Shape...\n",arr2.shape)

# To compute the bit-wise XOR of two arrays element-wise, use the numpy.bitwise_xor() method in Python Numpy
print("\nResult (bit-wise XOR)...\n",np.bitwise_xor(arr1, arr2))

Output

Array 1...
[[93 43 61]
[82 69 29]]

Array 2...
[[29 14 56]
[81 55 32]]

Our Array 1 type...
int64

Our Array 2 type...
int64

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)...
[[ 64 37 5]
[ 3 114 61]]
raja
Updated on 17-Feb-2022 11:16:29

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