How to convert a list of lists of lists to a 3D NumPy array and print it?

Last update on April 29 2025 13:00:11 (UTC/GMT +8 hours)

17. Nested List to 3D Array Conversion

Write a NumPy program to convert a list of lists of lists to a 3D NumPy array and print the array.

Sample Solution:

Python Code:

import numpy as np

# Define a nested list of lists of lists
list_of_lists = [[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]]

print("Original nested list of lists of lists:",list_of_lists)
print(type(list_of_lists))

# Convert the nested list to a 3D NumPy array
print("\nNested list to a 3D NumPy array:")
array_3d = np.array(list_of_lists)

# Print the 3D NumPy array
print(array_3d)
print(type(array_3d))

Output:

Original nested list of lists of lists: [[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]]
<class 'list'>

Nested list to a 3D NumPy array:
[[[ 1  2  3]
  [ 4  5  6]]

 [[ 7  8  9]
  [10 11 12]]]
<class 'numpy.ndarray'>

Explanation:

Import NumPy Library: Import the NumPy library to work with arrays.
Define Nested List: Create a nested list of lists of lists with some example data.
Convert to 3D NumPy Array: Use the np.array() function to convert the nested list into a 3D NumPy array.
Print 3D NumPy Array: Output the resulting 3D NumPy array to verify the conversion.

For more Practice: Solve these Related Problems:

Write a Numpy program to convert a deeply nested list of lists of lists into a 3D NumPy array and handle irregular inner list lengths.
Write a Numpy program to convert a nested list representing a 3D structure into a NumPy array and verify dimensions via shape attributes.
Write a Numpy program to transform a nested list to a 3D NumPy array and then perform slicing operations along each dimension.
Write a Numpy program to convert a nested list to a 3D array and then transpose the dimensions to test the array's consistency.

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