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Python | Numpy np.hermweight() method
• Last Updated : 06 Dec, 2019

With the help of `np.hermweight()` method, we can get the hermite polynomial by applying weight function in hermite series by using `np.hermweight()` method.

Syntax : `np.hermweight(series)`
Return : Return the coefficient of hermite polynomial.

Example #1 :
In this example we can see that by using `np.hermweight()` method, we are able to get the hermite polynomial by applying weight function in hermite series by using this method.

 `# import numpy and hermweight``import` `numpy as np``from` `numpy.polynomial.hermite ``import` `hermweight`` ` `series ``=` `np.array([``6``, ``7``, ``8``, ``9``, ``10``])``# using 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 :

 `# import numpy and hermweight``import` `numpy as np``from` `numpy.polynomial.hermite ``import` `hermweight`` ` `series ``=` `np.array([``0``, ``-``7``, ``8``, ``-``9``, ``1``])``# using 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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