  # Python | Numpy np.hermeval2d () method

NumPy | Python Methods and Functions

Using the `np.hermeval2d() ` method, we can estimate the two-dimensional Hermite series at the point (x, y), where (x, y) is defined in ` np.hermeval2d () `.

Syntax: ` np.hermeval2d (x, y, series) `
Return: Return the evaluated 2-D hermite series.

Example # 1:
In this example, we see that with ` np.hermeval2d () ` we can estimate the two-dimensional Hermite series in x and y using this method.

` `

` # import numpy and hermeval2d import numpy as np from numpy.polynomial.hermite_e import hermeval2d   < p> series = np.array ([[ 1 , 2 , 3 , 4 ], [ 5 , 6 , 7 , 8 ]]) # using the np.hermeval2d () method gfg = hermeval2d ( 3 , 4 , series)    print (gfg) `

` `

Output:

1912.0

Example # 2:

 ` # import numpy and hermeval2d ` ` import ` ` numpy as np ` ` from ` ` numpy.polynomial.hermite_e ` ` import ` ` hermeval2d `   ` series ` ` = ` ` np.array ([[` ` 1 ` `, ` ` 2 , 3 , 4 ], [ 5 , 6 ` `, ` ` 7 ` `, 8 ]]) `` # using the np.hermeval2d method () gfg = hermeval2d ([ 2 , 3 ], [ 5 , 6 ], series)   print (gfg) `

Output:

[2689. 6520.]