# Python | Numpy np.hermegrid2d() method

With the help of `np.hermegrid2d()` method, we can evaluate a 2-D hermite series on cartesian product of (x, y), where (x, y) is defined in the `np.hermegrid2d()` method.

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

Example #1 :
In this example we can see that by using `np.hermegrid2d()` method, we are able to evaluate the 2-D hermite series on cartesian product of x and y by using this method.

 `# 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 np.hermegrid2d() method ` `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 np.hermegrid2d() method ` `gfg ``=` `hermegrid2d([``2``, ``3``], [``5``, ``6``], series) ` ` `  `print``(gfg) `

Output :

[[2689. 4650.]
[3772. 6520.]]

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