Python | Numpy np.hermeval3d () method

With the method np.hermeval3d() we can estimate the three-dimensional Hermite series at the point (x, y, z), where (x, y, z) is defined in np.hermeval3d () .

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

Example # 1:
In this In the example, we can see that using np.hermeval3d () we can estimate the three-dimensional Hermite series in x, y and z 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 the np.hermeval3d () method

gfg = hermeval3d ( 3 , 4 , 6 , series)

 

print (gfg)

Output:

8616.0

Example No. 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 the np.hermeval3d () method

gfg = hermeval3d ([ 0 , 1 ], [ 2 , 3 ], [ 4 , 5 ], series)

 

print (gfg)

Output:

[1240. 1566.]