Python | Numpy np.hermvander2d() method (original) (raw)

Last Updated : 29 Dec, 2019

With the help of **np.hermvander2d()** method, we can get the 2-D pseudo vandermonde matrix from hermite series of given degree by using np.hermvander2d() method.

Syntax : np.hermvander2d(x, y, deg)
Return : Return the 2-D pseudo vandermonde matrix of given degree.

Example #1 :
In this example we can see that by using np.hermvander2d() method, we are able to get the 2-D pseudo vandermonde matrix of hermite series by using this method.

import numpy as np

from numpy.polynomial.hermite import hermvander2d

x = np.array([ 1 , 2 ])

y = np.array([ - 1 , - 2 ])

x_deg, y_deg = 2 , 2

gfg = hermvander2d(x, y, [x_deg, y_deg])

print (gfg)

Output :

[[ 1. -2. 2. 2. -4. 4. 2. -4. 4.]
[ 1. -4. 14. 4. -16. 56. 14. -56. 196.]]

Example #2 :

import numpy as np

from numpy.polynomial.hermite import hermvander2d

x = np.array([ 0.5 , 0.10 , 0.10 , 0.5 ])

y = np.array([ 1 , 2 , 3 , 5 ])

x_deg, y_deg = 1 , 1

gfg = hermvander2d(x, y, [x_deg, y_deg])

print (gfg)

Output :

[[ 1. 2. 1. 2. ]
[ 1. 4. 0.2 0.8]
[ 1. 6. 0.2 1.2]
[ 1. 10. 1. 10. ]]

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