NumPy: Create a 3x3x3 array filled with arbitrary values

Last update on April 29 2025 12:58:11 (UTC/GMT +8 hours)

Create 3x3x3 Array of Values

Write a NumPy program to create a 3x3x3 array filled with arbitrary values.

This problem involves writing a NumPy program to generate a 3x3x3 array filled with arbitrary values. The task requires utilizing NumPy's array creation functionalities to efficiently construct the multi-dimensional array with arbitrary values. By specifying the desired shape of the array and providing arbitrary values, the program generates a 3x3x3 array suitable for various computational and analytical tasks.

Sample Solution :

Python Code :

# Importing the NumPy library with an alias 'np'
import numpy as np

# Creating a 3x3x3 array filled with random numbers between 0 and 1 using np.random.random()
x = np.random.random((3, 3, 3))

# Printing the randomly generated 3x3x3 array 'x'
print(x) 

Output:

[[[ 0.51919099  0.31268732  0.58506582]
  [ 0.12730206  0.30556451  0.55981097]
  [ 0.92910493  0.73947119  0.14252086]]

 [[ 0.96159407  0.21341612  0.6814465 ]
  [ 0.71884351  0.01271011  0.98812225]
  [ 0.47553515  0.04584955  0.59425412]]

 [[ 0.44064227  0.26612916  0.58861619]
  [ 0.37935141  0.0640071   0.53717733]
  [ 0.77986385  0.0771148   0.92183522]]]                         

Explanation:

The above code creates a 3D array of random numbers between 0 and 1 with the shape (3, 3, 3) and prints the resulting array.

Here ‘np.random.random((3, 3, 3))’ creates a 3D array with the shape (3, 3, 3), filled with random numbers between 0 and 1. The input to np.random.random() is a tuple representing the desired shape of the output array.

Finally print(x) prints the generated 3D array to the console.

Visual Presentation:

For more Practice: Solve these Related Problems:

• Construct a 3x3x3 array with sequential integers and verify its reshaped structure.
• Generate a 3x3x3 array and compute the sum along each of its three axes.
• Create a 3x3x3 array filled with a constant value, then modify a specific 2D slice.
• Form a 3x3x3 array and extract the central 2D subarray from each of its matrices.

Go to:

• NumPy Basic Exercises Home ↩
• NumPy Exercises Home ↩

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