numpy.vander() function | Python (original) (raw)

Last Updated : 22 Apr, 2020

numpy.vander() function is used to generate a Vandermonde matrix.

Syntax : numpy.vander(arr, N = None, increasing = False)Parameters : arr : [ array_like] 1-D input array.N : [int, optional] Number of columns in the output. If N is not specified, a square array is returned (N = len(x)).increasing : [bool, optional] Order of the powers of the columns. If True, the powers increase from left to right, if False (the default) they are reversed.Return : [ndarray] dVandermonde matrix. If increasing is False, the first column is x^(N-1), the second x^(N-2) and so forth. If increasing is True, the columns are x^0, x^1, ..., x^(N-1).

Code #1 :

Python3 `

Python program explaining

numpy.vander() function

importing numpy as geek

import numpy as geek

arr = geek.array([1, 2, 3, 4, 5])

gfg = geek.vander(arr)

print (gfg)

`

Output :

[[ 1 1 1 1 1] [ 16 8 4 2 1] [ 81 27 9 3 1] [256 64 16 4 1] [625 125 25 5 1]]

Code #2 :

Python3 `

Python program explaining

numpy.vander() function

importing numpy as geek

import numpy as geek

arr = geek.array([1, 2, 3, 4, 5]) N = 3

gfg = geek.vander(arr, N)

print (gfg)

`

Output :

[[ 1 1 1] [ 4 2 1] [ 9 3 1] [16 4 1] [25 5 1]]

Code #3 :

Python3 `

Python program explaining

numpy.vander() function

importing numpy as geek

import numpy as geek

arr = geek.array([1, 2, 3, 4, 5])

gfg = geek.vander(arr, increasing = True)

print (gfg)

`

Output :

[[ 1 1 1 1 1] [ 1 2 4 8 16] [ 1 3 9 27 81] [ 1 4 16 64 256] [ 1 5 25 125 625]]