Python | Numpy np.poly2leg() 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 :

# 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 :

# 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.poly2leg() method

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