  # Python | The numpy np.hermegrid3d () method

NumPy | Python Methods and Functions

Using the method `np.hermegrid3d() ` we can estimate the three-dimensional Hermite series on the Cartesian product (x, y, z), where (x, y, z) defined in ` np.hermegrid3d () `,

Syntax: ` np.hermegrid3d (x, y, z, series) `
Return: Return the evaluated 3-D hermite series.

Example # 1:
In this example, we can see that with ` np.hermegrid3d () ` we can estimate the three-dimensional Hermite series on the Cartesian product x, y and z using this method.

 ` # import numpy and hermegrid3d ` ` import ` ` numpy as np ` ` from ` ` numpy.polynomial.hermite_e ` ` import ` ` hermegrid3 d `   ` series ` ` = ` ` np.array ([[` ` 1 ` `, ` ` 2 ` `, ` ` 3 ` `, ` ` 4 ` `], [` ` 5 ` `, ` ` 6 ` `, ` ` 7 ` `, ` ` 8 ` `], [` ` 9 , 10 , 11 , 12 ]]) `` # using the np.hermegrid3d () method gfg =   hermegrid3d ( 3 , 4 , 6 , series)   print (gfg) `

Output:

8616.0

Example # 2:

 ` # import numpy and hermegrid3d ` ` import ` ` numpy as np ` ` from ` ` numpy.polynomial.hermite_e ` ` import ` ` hermegrid3d `   ` series ` = ` np.array ([[[` ` 1 ` `, ` ` 2 ` `, ` ` 3 ` `, ` ` 4 ` `], [` ` 5 ` `, ` ` 6 ` `, ` ` 7 , 8 ], [ 9 , 10 , 11 , 12 ]]) `` # using the np.hermegrid3d () method `` `` gfg = hermegrid3d ([ 0 , 1 ` `], [` ` 2 ` `, ` ` 3 ` `], [` ` 4 ` `, ` ` 5 ` `], series) ` ` `  ` print ` ` (gfg) `

Output:

[[240.316. ]
[1064. 1390.]]