Python | Numpy np.hermevander() method

Python | Numpy np.hermeval3d() method

Last Updated : 11 Dec, 2019

With the help of np.hermeval3d() method, we can evaluate a 3-D hermite series on point (x, y, z), where (x, y, z) is defined in the np.hermeval3d() method.

Syntax : np.hermeval3d(x, y, series)
Return : Return the evaluated 3-D hermite series.

Example #1 :
In this example we can see that by using np.hermeval3d() method, we are able to evaluate the 3-D hermite series on x, y and z by using this method.

# import numpy and hermeval3d 
import numpy as np 
from numpy.polynomial.hermite_e import hermeval3d 
  
series = np.array([[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]]) 
# using np.hermeval3d() method 
gfg = hermeval3d(3, 4, 6, series) 
  
print(gfg) 

Output :

8616.0

Example #2 :

# import numpy and hermeval3d 
import numpy as np 
from numpy.polynomial.hermite_e import hermeval3d 
  
series = np.array([[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]]) 
# using np.hermeval3d() method 
gfg = hermeval3d([0, 1], [2, 3], [4, 5], series) 
  
print(gfg) 

Output :

[1240. 1566.]

Python | Numpy np.hermevander() method

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