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.]]





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