Python | Numpy np.lag2poly() method (original) (raw)

Last Updated : 29 Dec, 2019

**np.lag2poly()** method is used to convert a Laguerre series to a polynomial.

Syntax : np.lag2poly(c) Parameters: **c :**[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high.Return : [ndarray] 1-D array containing the coefficients of the equivalent polynomial.

Code #1 :

Python3 `

Python program explaining

numpy.lag2poly() method

importing numpy as np

and numpy.polynomial.laguerre module as geek

import numpy as np import numpy.polynomial.laguerre as geek

Input laguerre series coefficients

c = np.array([0.1, 0.2, 0.3, 0.4, 0.5])

using np.lag2poly() method

res = geek.lag2poly(c)

Resulting equivalent polynomial series coefficient

print (res)

`

Output:

[ 1.5 -4. 2.25 -0.4 0.02083333]

Code #2 :

Python3 `

Python program explaining

numpy.lag2poly() method

importing numpy as np

and numpy.polynomial.laguerre module as geek

import numpy as np import numpy.polynomial.laguerre as geek

Input laguerre series coefficients

c = ( 1, 2, 3, 4, 5)

using np.lag2poly() method

res = geek.lag2poly(c)

Resulting equivalent polynomial series coefficient

print (res)

`

Output:

[ 15. -40. 22.5 -4. 0.20833333]