# NumPy: Create a 3x3x3 array filled with arbitrary values

## NumPy: Basic Exercise-31 with Solution

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.

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