NumPy | Python Methods and Functions

Using the

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

`(gfg)`

Output:[2689. 6520.]

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