NumPy | Python Methods and Functions

With the method

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

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