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

To compute the bit-wise OR of two boolean arrays element-wise, use the numpy.bitwise_or() method in Python Numpy. Computes the bit-wise OR of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator |.

The 1st and 2d 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 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 OR of two boolean arrays element-wise, use the numpy.bitwise_or() method −

print("Result...",np.bitwise_or(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 OR of two arrays element-wise, use the numpy.bitwise_or() method in Python Numpy
print("Result...",np.bitwise_or(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...
[[False True False]
[ True False True]]

Updated on: 18-Feb-2022

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