  # Python | Numpy np.hermeval3d () method

NumPy | Python Methods and Functions

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.]