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]
