Generate a Vandermonde matrix of given degree using NumPy in Python
Last Updated :
03 Jun, 2022
In this article, we will cover generating a Vandermonde matrix of a given degree in Python using NumPy. In algebra, a Vandermonde matrix is an m*n matrix that has the terms of a geometric progression in each row.
The matrix generated will be of the form :
[1 x11 x12 ........ x1(n-1)
...................
...................
1 xm1 xm2 ........ xm(n-1)]
numpy.polynomial.polynomial.polyvander
The numpy.polynomial.polynomial.polyvander() method is used to generate a Vandermonde matrix of a given array using the NumPy module in Python. This method accepts an array and matrix’s degree that specifies the degree of the matrix. It returns a matrix containing the Vandermonde matrix. The syntax of the polyvander method is given as:
Syntax: numpy.polynomial.polynomial.polyvander():
Parameters:
- x: array like object.
- deg: integer. The resulting matrix’s degree.
Returns: The Vandermonde matrix.
Example 1:
Here, we will create a NumPy array and use numpy.polynomial.polynomial.polyvander() to generate a vandermonde matrix. The shape of the array is found by the .shape attribute, the dimension of the array is found by .ndim attribute, and the data type of the array is .dtype attribute.
Python3
import numpy as np
from numpy.polynomial.polynomial import polyvander
array = np.array([[ 4 , 3 , 1 ]])
print (array)
print ( "Shape of the array is : " , array.shape)
print ( "The dimension of the array is : " , array.ndim)
print ( "Datatype of our Array is : " , array.dtype)
print (polyvander(array, 2 ))
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Output:
[[4 3 1]]
Shape of the array is : (1, 3)
The dimension of the array is : 2
Datatype of our Array is : int64
[[[ 1. 4. 16.]
[ 1. 3. 9.]
[ 1. 1. 1.]]]
Example 2:
Here, the output of the second column in the matrix is negative numbers as the odd power of a negative number is always negative.
Python3
import numpy as np
from numpy.polynomial.polynomial import polyvander
array = np.array([[ - 1 , - 2 , - 3 ]])
print (array)
print ( "Shape of the array is : " ,array.shape)
print ( "The dimension of the array is : " ,array.ndim)
print ( "Datatype of our Array is : " ,array.dtype)
print (polyvander(array, 2 ))
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Output:
[[-1 -2 -3]]
Shape of the array is : (1, 3)
The dimension of the array is : 2
Datatype of our Array is : int64
[[[ 1. -1. 1.]
[ 1. -2. 4.]
[ 1. -3. 9.]]]
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