Python | Numpy np.poly2lag() method

Last Updated : 06 Dec, 2022

With the help of `np.poly2lag()` method, we can get the laguerre series coefficient from a given polynomial.

Syntax : `np.poly2lag(polynomial)`
Return : Return the coefficient of laguerre series.

Example #1 :
In this example we can see that by using `np.poly2lag()` method, we are able to get the coefficients of laguerre series from polynomial using this method.

 `# import numpy and poly2lag ` `import` `numpy as np ` `from` `numpy.polynomial.laguerre ``import` `poly2lag ` ` `  `arr ``=` `np.array([``0.1``, ``0.2``, ``0.3``, ``0.4``, ``0.5``]) ` `# using np.poly2lag() method ` `ans ``=` `poly2lag(arr) ` ` `  `print``(ans) `

Output :

[ 15.3 -56.6 79.8 -50.4 12. ]

Example #2 :

 `# import numpy and poly2lag ` `import` `numpy as np ` `from` `numpy.polynomial.laguerre ``import` `poly2lag ` ` `  `arr ``=` `np.array([``-``0.5``, ``-``0.4``, ``-``0.3``, ``-``0.2``, ``-``0.1``, ``0``, ``0.1``, ``0.2``, ``0.3``, ``0.4``, ``0.5``]) ` `# using np.poly2lag() method ` `ans ``=` `poly2lag(arr) ` ` `  `print``(ans) `

Output :

[ 1.97272290e+06 -1.95546092e+07 8.72343894e+07 -2.30634853e+08
4.00196230e+08 -4.76216928e+08 3.93562584e+08 -2.23051248e+08
8.29664640e+07 -1.82891520e+07 1.81440000e+06]

Previous
Next