w3resource

NumPy Memory Layout Exercises, Practice, Explanation, Solution

NumPy Memory Layout Exercises [ 19 exercises with solution]

[An editor is available at the bottom of the page to write and execute the scripts. Go to the editor]

1. Write NumPy program to create a 3D array of shape (2, 3, 4) and print its strides.
Click me to see the sample solution

2. Write a NumPy program that reshapes a 1D array of 12 elements into a 2D array of shape (3, 4) and print its strides.
Click me to see the sample solution

3. Write a NumPy program to create a 2D array of shape (4, 4), then use ravel() to flatten it and print the result.
Click me to see the sample solution

4. Write a NumPy program to create a 3D array of shape (3, 3, 3), then reshape it into a 1D array using ravel() and finally print the result.
Click me to see the sample solution

5. Write a NumPy program to create a 2D array of shape (5, 5) and change its strides to view every other element in the first dimension.
Click me to see the sample solution

6. 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.
Click me to see the sample solution

7. Write a NumPy program that creates a 2D array of shape (6, 2) and use reshape() to change it into a 3D array of shape (2, 3, 2). Print the new array.
Click me to see the sample solution

8.Write a NumPy program that creates a 3D array of shape (2, 4, 4) and print the strides. Then, flatten it with ravel(order='F') and print the flattened array.
Click me to see the sample solution

9. Write a NumPy program that creates a 1D array of 9 elements and reshape it into a 3x3 matrix. Modify the matrix and observe the changes in the original array.
Click me to see the sample solution

10. Write a NumPy program that creates a 2D array of shape (3, 3), change its memory layout to 'C' order using ascontiguousarray(), and print the array and its strides.
Click me to see the sample solution

11. Write a NumPy program that creates a 2D array of shape (3, 3), change its memory layout to 'F' order using asfortranarray(), and print the array and its strides.
Click me to see the sample solution

12. Write a NumPy program that creates a 2D array of shape (5, 5) and use ravel() to get a flattened array. Then use reshape() to convert it back to its original shape and print both arrays.
Click me to see the sample solution

13. Write a NumPy program that creates a 3D array of shape (2, 3, 3) and use swapaxes() to swap the first and third axes. Print the original and modified arrays.
Click me to see the sample solution

14. Write a NumPy program that creates a 2D array of shape (4, 5) and use flatten(order='C') and flatten(order='F'). Print both flattened arrays.
Click me to see the sample solution

15. Write a NumPy program that creates a 2D array of shape (3, 3), make a transposed view using .T, and print the strides of both the original and transposed arrays.
Click me to see the sample solution

16. Write a NumPy program that creates a 1D array of 15 elements, reshape it into a (3, 5) matrix, then slice a sub-array from it and print the sub-array and its strides.
Click me to see the sample solution

17. Write a NumPy program that creates a 4D array of shape (2, 2, 3, 3), reshape it into a 2D array, and then reshape it back to the original shape. Print all the intermediate arrays.
Click me to see the sample solution

18. Write a NumPy program that creates a 2D array of shape (4, 6), then reshape it into a 3D array of shape (2, 2, 6). Print the original and reshaped arrays.
Click me to see the sample solution

19. Write a NumPy program that creates a 1D array of 20 elements and use reshape() to create a (4, 5) matrix. Slice a (2, 3) sub-matrix and print its strides.
Click me to see the sample solution

Python-Numpy Code Editor:

More to Come !

Do not submit any solution of the above exercises at here, if you want to contribute go to the appropriate exercise page.

Test your Python skills with w3resource's quiz



Become a Patron!

Follow us on Facebook and Twitter for latest update.

It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.

https://198.211.115.131/python-exercises/numpy/python-numpy-memory-layout.php