# Compute the bit-wise XOR of a 1D and a 2D array element-wise in Numpy

To compute the bit-wise XOR of a 1D and a 2D array 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 arrays using the array() method. We have inserted elements of int type −

arr1 = np.array([32, 95, 82, 69, 38, 49])
arr2 = np.array([[28, 60, 81, 55, 89, 43]])

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 a 1D and a 2D array element-wise, use the numpy.bitwise_xor() method −

print("Result...",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([32, 95, 82, 69, 38, 49])
arr2 = np.array([[28, 60, 81, 55, 89, 43]])

# 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...",np.bitwise_xor(arr1, arr2))

## Output

Array 1...
[32 95 82 69 38 49]

Array 2...
[[28 60 81 55 89 43]]

Our Array 1 type...
int64

Our Array 2 type...
int64

Our Array 1 Dimensions...
1

Our Array 2 Dimensions...
2

Our Array 1 Shape...
(6,)

Our Array 2 Shape...
(1, 6)

Result...
[[ 60 99 3 114 127 26]]

Updated on: 17-Feb-2022

269 Views