How to reshape a 1D NumPy array to multiple dimensions?

Last update on December 21 2024 07:40:06 (UTC/GMT +8 hours)

Write a NumPy program that creates a 1D array of 16 elements, reshape it to (4, 4), then change its shape to (2, 8) without changing the underlying data.

Sample Solution:

Python Code:

import numpy as np

# Create a 1D array of 16 elements
array_1d = np.arange(1, 17)

# Reshape the 1D array to a 2D array of shape (4, 4)
array_2d = array_1d.reshape(4, 4)

# Change the shape of the array to (2, 8) without changing the underlying data
reshaped_array = array_2d.reshape(2, 8)

# Print the reshaped array
print(reshaped_array)

Output:

[[ 1  2  3  4  5  6  7  8]
 [ 9 10 11 12 13 14 15 16]]

Explanation:

• Import NumPy library: We start by importing the NumPy library to handle array operations.
• Create a 1D array: We create a 1D array array_1d with 16 elements using np.arange(1, 17).
• Reshape to (4, 4): We reshape the 1D array to a 2D array array_2d of shape (4, 4) using reshape().
• Change shape to (2, 8): We further reshape array_2d to a new shape (2, 8) without changing the underlying data, resulting in reshaped_array.
• Print the result: Finally, we print the reshaped_array.

Python-Numpy Code Editor: