How to create a 3D array and print its strides using NumPy?

Last update on March 26 2025 13:18:46 (UTC/GMT +8 hours)

1. 3D Array Strides Examination

Write NumPy program to create a 3D array of shape (2, 3, 4) and print its strides.

Sample Solution:

Python Code:

import numpy as np

# Create a 3D array of shape (2, 3, 4)
x = np.array([[[1, 2, 3, 4], 
               [5, 6, 7, 8], 
               [9, 10, 11, 12]],

              [[13, 14, 15, 16], 
               [17, 18, 19, 20], 
               [21, 22, 23, 24]]])

# Print the strides of the array
print("Strides of the array:", x.strides)

Output:

Strides of the array: (48, 16, 4)

Explanation:

• Import NumPy: Import the NumPy library to handle array operations.
• Create 3D array x: Define a 3D array x with shape (2, 3, 4) containing integers.
• Print Strides: Print the strides of the array using the strides attribute.

For more Practice: Solve these Related Problems:

• Write a NumPy program to create a 3D array of shape (2, 3, 4) and then use np.lib.stride_tricks.as_strided to generate a modified view with custom strides.
• Write a NumPy program to compare the strides of a 3D array created in C order versus Fortran order.
• Write a NumPy program to compute the memory offset manually from the strides of a 3D array and verify it with indexing.
• Write a NumPy program to create two 3D arrays with identical shapes but different memory layouts and compare their strides.

Python-Numpy Code Editor:

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