#    
## Overview
Python's **`diagflat()` function** creates a `2D` array with the flattened input as a diagonal.

A flattened array is simply a `1D` array. Therefore in this case of the `diagflat()` function, the input data is flattened (converted to a `1D` array) and then used as the diagonal of the output `2D` array. 

## Syntax
```
numpy.diagflat(v, k=0)
```
## Parameter value
The `diagflat()` function takes the following parameter values:
* `v`: This represents the `array_like` object which is flattened and set as the k-th diagonal of the output.
* `k`: This represents the diagonal to set, `0` is the main diagonal, or the default diagonal, a positive or negative `k` is the number of diagonals above or below the main diagonal, respectively. This is optional.

## Return value
The `diagflat()` function returns the `2D` output array.

### Illustration of how the diagflat() function works


import numpy as np

# creating an array
myarray = np.array([[1,2], [3,4]])

# implementing the diagflat() function 
diagarray = np.diagflat(myarray, 1)


print(myarray)
print(diagarray)

## Explanation 
* Line 1: We import the `numpy` library.
* Line 4: We create an array, `myarray`, using the `array()` function. 
* Line 7: We implement the ` diagflat()` function on the given array, `myarray`, with the diagonal to start above the main diagonal at `1`. The result is assigned to a new variable `daigarray`.
* Line 10: We print the existing array `myarray`.
* Line 11: We print the newly created `2D` diagonal array, `diagarray`.

What is the numpy.diagflat() method from NumPy in Python?

Creates a 2D array with the flattened input as a specified diagonal, starting with main diagonal by default.

What is the numpy.diagflat() method from NumPy in Python?

Overview

Syntax

Parameter value

Return value

Illustration of how the diagflat() function works

Code

Explanation