# 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]]

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