#    
## Overview
The **`vander()` function** in Python is simply used to generate a Vandermonde matrix.

## Syntax
```
numpy.vander(x, N=None, increasing=False)
```

## Parameter value
The `vander()` function takes the following parameter values.
* **`x`**: This represents the `1-D` input array.
* **`N`**: This represents the number of columns in the output matrix or array.
* **`increasing`**: This takes a Boolean value and represents the power of the columns. If `True`, the powers increase from left to right, if `False` by default, they are reversed.
## Return values
The `vander()` function returns a Vandermonde matrix.
## Code example



import numpy as np

# creating an array
myarray = np.array([1, 2, 3, 4, 5])

# implementing the vander() function 
mymatrix = np.vander(myarray, N=3, increasing=False)

print(mymatrix)

## Explanation
* **Line 1**: We import the `numpy` module.
* **Line 4**: We create an array, `myarray`, having `5` elements.
* **Line 7**: We implement the `vander()` function on the array `myarray` using `3`, as the number of columns of the output array and a default value for the `increasing` parameter. The output is assigned to a new variable, `mymatrix`.
* **Line 9**: We print the Vandermonde matrix `mymatrix`.

What is the numpy.vander() function from NumPy in Python?

Generates a Vandermonde matrix from a 1-D array, with configurable columns and power order.