How to convert a list of lists of lists to a 3D NumPy array and print it?
NumPy: Interoperability Exercise-17 with Solution
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.
Python-Numpy Code Editor:
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