Python | Numpy np.hermvander() method

Python | Numpy np.hermvander2d() method

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 and hermvander2d 
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
  
# using np.hermvander2d() method 
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 and hermvander2d 
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
  
# using np.hermvander2d() method 
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. ]]

Python | Numpy np.hermvander() method

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