Array Broadcasting

In NumPy, array broadcasting refers to the process of expanding the shape of a smaller array to match the shape of a larger array during arithmetic operations. This is helpful when there is a need to perform mathematical operations on two arrays of different shapes.

Example

The following example demonstrates the usage of array broadcasting:

import numpy as np

# Create an array of size (1 x 4)
arr1 = np.array([[11, 12, 13, 14]])

# Create an array of size (2 x 4)
arr2 = np.array([[21, 22, 23, 24], [25, 26, 27, 28]])

# Add the arrays
res = arr1 + arr2

# Print the result
print(res)

In the above example, the shape of the smaller array arr1 (1 x 4) is expanded to the shape of the larger array arr2 (2 x 4) during addition. After expansion, the array arr1 looks like [[11, 12, 13, 14], [11, 12, 13, 14]].

The above code produces the following output:

[[32 34 36 38]
 [36 38 40 42]]

Codebyte Example

The following codebyte example demonstrates the usage of array broadcasting:

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