NumPy | Python Methods and Functions

Using the

method, we can get the Hermite polynomial by applying the weight function in Hermite series using **np.hermweight()** ` np.hermweight () . `

` ` ** Syntax: ** ` np.hermweight (series) `

** Return: ** Return the coefficient of hermite polynomial.

** Example # 1: **

In this example we can see that with ` np.hermweight () we can get the Hermite polynomial by weighting the Hermite series using this method. `

` `

` # numy and hermweight imports `

` import `

` numpy as np `

` from `

` numpy.polynomial.hermite `

` import `

` hermweight `

` `

` series `

` = `

` np. array ([`

` 6 `

`, `

` 7 `

`, `

` 8 `

`, `

` 9 `

`, `

` 10 `

`]) `

` # using the np.hermweight () method `

` gfg `

` = `

` hermweight (series) `

` print `

` (gfg) `

** Output: **

[2.31952283e-16 5.24288566e-22 1.60381089e-28 6.63967720e-36

3.72007598e-44]

** Example # 2: **

` # numy and hermweight imports `

` import `

` numpy as np `

` from `

` numpy.polynomial.hermite `

` import `

` hermweight `

` series `

` = `

` np.array ([`

` 0 `

`, `

` - `

` 7 `

`, `

` 8 `

`, `

` - `

` 9 `

`, `

` 1 `

`]) `

` # using the np.hermweight () method `

` gfg `

` = `` hermweight (series) `

` `

` print `

` (gfg) `

` `

** Output: **

[1.00000000e + 00 5.24288566e-22 1.60381089e-28 6.63967720e-36

3.67879441e-01 ]

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