Python | Numpy np.lag2poly() method

Python | Numpy np.leg2poly() method

Last Updated : 29 Dec, 2019

np.leg2poly() method is used to convert a legendre series to a polynomial.

Syntax : np.leg2poly(c) Parameters: c :[array_like] 1-D arrays of legendre 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.leg2poly() method 
  
# importing numpy as np  
# and numpy.polynomial.legendre module as geek 
import numpy as np 
import numpy.polynomial.legendre as geek
  
# Input legendre series coefficients

c = np.array([0.1, 0.2, 0.3, 0.4, 0.5]) 
   
# using np.leg2poly() method 
res = geek.leg2poly(c) 

# Resulting equivalent polynomial series coefficient
print (res)

Output:

[ 0.1375 -0.4    -1.425   1.      2.1875]

Code #2 :

Python3

# Python program explaining
# numpy.leg2poly() method 
  
# importing numpy as np  
# and numpy.polynomial.legendre module as geek 
import numpy as np 
import numpy.polynomial.legendre as geek
  
# Input legendre series coefficients

c = ( 1, 2, 3, 4, 5)
   
# using np.leg2poly() method 
res = geek.leg2poly(c) 

# Resulting equivalent polynomial series coefficient
print (res)

Output:

[  1.375  -4.    -14.25   10.     21.875]

Python | Numpy np.lag2poly() method

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