#           
## Overview
The **`diag()` function** in Python is used to extract a diagonal array.
## Syntax
```
numpy.diag(v, k=0)
```
## Parameters
The `diag()` function takes the following parameter values:
* **`v`**: This represents the `array_like` object.
* **`k`**: This represents the diagonal in question. The default is `0`. `k>0` for diagonals above the main diagonal and `k<0` for diagonals below the main diagonal.


## Return value
The `diag()` function returns a constructed diagonal array or an extracted diagonal array.

## Example


import numpy as np

# creating an array
myarray = np.arange(9).reshape((3,3))

# implementing the diag() function 
diagarray = np.diag(myarray, k=0)

print(myarray)
print(diagarray)

## Explanation 
* **Line 1**: We import the `numpy` library.
* **Line 4**: We create an array `myarray` that contains `9`  values with a dimension of 3x3 (`3` rows and `3` columns) using the `arange()` function.
* **Line 7**: We implement the `diag()` function on the array `myarray` using the main diagonal `k=0`. The result is assigned to a new variable, `diagarray`. 
* **Line 9**: We print the array `myarray`.
* **Line 10**: We print the new diagonal array `diagarray`.


What is the diag() function from NumPy in Python?

Overview

Syntax

Parameters

Return value

Example

Explanation