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]