  # Python | The numpy np.hermegrid2d () method

NumPy | Python Methods and Functions

With the method `np.hermegrid2d() ` we can estimate the two-dimensional Hermite series on the Cartesian product (x, y), where (x, y) is defined in ` np.hermegrid2d () `.

Syntax: ` np.hermegrid2d (x, y, series) `
Return: Return the evaluated 2-D hermite series.

Example # 1:
In this example, we see that with ` np.hermegrid2d () ` we can estimate the two-dimensional Hermite series on the Cartesian product of x and y using this method.

` `

` # import numpy and hermegrid2d import numpy as np from numpy.polynomial.hermite_e import hermegrid2d < p>   series = np.array ([[ 1 , 2 , 3 , 4 ], [ 5 , 6 , 7 , 8 ]]) # using the np.hermegrid2d ( ) gfg = hermegrid2d ( 3 , 4 , series)   print (gfg) `

Output:

1912.0

Example # 2:

` `

` # import numpy and hermegrid2d import numpy as np from numpy.polynomial.hermite_e import hermegrid2d   series = np.array ([[ 1 , 2 , 3 , 4 ], [ 5 , 6 , 7 , 8 ]]) # using the np.hermegrid2d () method gfg = hermegrid2d ([ 2 , 3 ], [ 5 , 6 ], series)    print (gfg) `

` `

Output:

[[2689. 4650.]
[3772. 6520.]]