Skip to content
Related Articles
Python | Numpy np.hermevander() method
• Last Updated : 11 Dec, 2019

With the help of `np.hermevander()` method, we can get the pseudo vandermonde matrix at a given degree by using `np.hermevander()` method.

Syntax : `np.hermevander(x, deg)`
Return : Return the pseudo vandermonde matrix.

Example #1 :
In this example we can see that by using `np.hermevander()` method, we are able to get the pseudo vandermonde matrix at a given degree by using this method.

 `# import numpy and hermevander``import` `numpy as np``from` `numpy.polynomial.hermite_e ``import` `hermevander`` ` `x ``=` `np.array([``0.1``, ``0.2``, ``0.3``, ``0.4``, ``0.5``])``deg ``=` `3``# using np.hermevander() method``gfg ``=` `hermevander(x, deg)`` ` `print``(gfg)`

Output :

[[ 1. 0.1 -0.99 -0.299]
[ 1. 0.2 -0.96 -0.592]
[ 1. 0.3 -0.91 -0.873]
[ 1. 0.4 -0.84 -1.136]
[ 1. 0.5 -0.75 -1.375]]

Example #2 :

 `# import numpy and hermevander``import` `numpy as np``from` `numpy.polynomial.hermite_e ``import` `hermevander`` ` `x ``=` `np.array([``1.1``, ``2.2``, ``3.3``, ``4.4``, ``5.5``])``deg ``=` `3``# using np.hermevander() method``gfg ``=` `hermevander(x, deg)`` ` `print``(gfg)`

Output :

[[ 1. 1.1 0.21 -1.969]
[ 1. 2.2 3.84 4.048]
[ 1. 3.3 9.89 26.037]
[ 1. 4.4 18.36 71.984]
[ 1. 5.5 29.25 149.875]]

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up