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Python | Numpy np.lag2poly() method
  • 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 :

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# 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) 

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Output:



[ 1.5        -4.          2.25       -0.4         0.02083333]

 

Code #2 :

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# 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) 

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Output:

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

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