# Extract the uper triangular part of a 4x4 random array using NumPy

## NumPy: Advanced Exercise-21 with Solution

Write a NumPy program to create a 4x4 array with random values and extract the upper triangular part of the matrix.

This NumPy program generates a 4x4 array filled with random values and then extracts its upper triangular portion. The upper triangular part consists of the elements above the main diagonal.

**Sample Solution:**

**Python Code:**

```
# Importing the necessary NumPy library
import numpy as np
# Create a 4x4 array with random values
array = np.random.rand(4, 4)
# Extract the upper triangular part of the matrix
upper_triangular = np.triu(array)
# Printing the original array and its upper triangular part
print("4x4 Array:\n", array)
print("Upper Triangular Part of the Array:\n", upper_triangular)
```

Output:

4x4 Array: [[0.78182673 0.33487408 0.98131048 0.06329237] [0.62694284 0.21797308 0.11079666 0.9965996 ] [0.21949739 0.3833903 0.57100561 0.6176376 ] [0.39506617 0.83982428 0.90600992 0.82911216]] Upper Triangular Part of the Array: [[0.78182673 0.33487408 0.98131048 0.06329237] [0. 0.21797308 0.11079666 0.9965996 ] [0. 0. 0.57100561 0.6176376 ] [0. 0. 0. 0.82911216]]

**Explanation:**

- Import NumPy library: This step imports the NumPy library, which is essential for numerical operations.
- Create a 4x4 array: We use np.random.rand(4, 4) to generate a 4x4 matrix with random values between 0 and 1.
- Extract the upper triangular part of the matrix: The np.triu function extracts the upper triangular part of the matrix, setting elements below the main diagonal to zero.
- Print results: This step prints the original 4x4 array and its upper triangular part.

**Python-Numpy Code Editor:**

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