Perform element-wise addition with NumPy Broadcasting

Last update on March 26 2025 13:15:57 (UTC/GMT +8 hours)

1. Element-wise Addition with Broadcasting

Given two arrays, x = np.array([1, 2, 3]) and y = np.array([[10], [20], [30]]).

Write a NumPy program that performs element-wise addition using broadcasting.

Sample Solution:

Python Code:

import numpy as np

# Create a 1D array x
x = np.array([1, 2, 3])

# Create a 2D array y
y = np.array([[10], [20], [30]])

# Perform element-wise addition using broadcasting
result = x + y

print(result)

Output:

[[11 12 13]
 [21 22 23]
 [31 32 33]]

Explanation:

• Import the NumPy library.
• Create a 1D array x with elements [1, 2, 3].
• Create a 2D array y with elements [[10], [20], [30]].
• Perform element-wise addition using broadcasting, which automatically adjusts the shape of x to match y.
• Print the result of the addition.

For more Practice: Solve these Related Problems:

• Implement a function that adds two arrays of different shapes using broadcasting and verifies the result with manual computation.
• Create a program that adds a scalar to an array and then adds two arrays with one of them reshaped for compatibility.
• Write a solution that adds two arrays element-wise, then computes the cumulative sum of the result.
• Compare the output of element-wise addition using broadcasting with the result from a loop-based implementation.

Python-Numpy Code Editor:

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