Python | Numpy np.lag2poly() method

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 :

# 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 :

# 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]