# Python | Numpy np.lagmulx() method

• Last Updated : 29 Dec, 2019

With the help of `np.lagmulx()` method, we can get the multiplication of Laguerre series with x by using `np.lagmulx()` method, where x is an independent variable.

Syntax : `np.lagmulx(series)`
Return : Return the coefficient of series after multiplication.

Example #1 :
In this example we can see that by using `np.lagmulx()` method, we are able to get the coefficient of series after multiplication of Laguerre series with independent variable x by using this method.

 `# import numpy and lagmulx``import` `numpy as np``from` `numpy.polynomial.laguerre ``import` `lagmulx`` ` `series ``=` `np.array([``1``, ``2``, ``3``, ``4``, ``5``])`` ` `# using np.lagmulx() method``gfg ``=` `lagmulx(series)`` ` `print``(gfg)`

Output :

[ -1. -1. -1. -1. 29. -25.]

Example #2 :

 `# import numpy and lagmulx``import` `numpy as np``from` `numpy.polynomial.laguerre ``import` `lagmulx`` ` `series ``=` `np.array([``10``, ``20``, ``30``])`` ` `# using np.lagmulx() method``gfg ``=` `lagmulx(series)`` ` `print``(gfg)`

Output :

[ -10. -10. 110. -90.]

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