Python | Numpy np.lagfit() method

Python | Numpy np.lagpow() method

Last Updated : 29 Dec, 2019

np.lagpow() method is used to raise a Laguerre series to a given power.It returns the Laguerre series c raised to the power pow.

Syntax : np.lagpow(c, pow, maxpower=16) Parameters: c :[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high. pow :[integer] Power to which the series will be raised. maxpower :[integer, optional] Maximum allowed power.Default is 16. Return : [ndarray] Laguerre series of power.

Code #1 :

Python3

# Python program explaining
# numpy.lagpow() 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

s = (2, 4, 8) 
   
# using np.lagpow() method 
res = geek.lagpow(s, pow = 3) 

# Resulting laguerre series coefficient
print (res)

Output:

[   3176.  -25680.  100512. -206592.  246528. -161280.   46080.]

Code #2 :

Python3

# Python program explaining
# numpy.lagpow() method 
  
# importing numpy as np  
# and numpy.polynomial.laguerre module as geek 
import numpy as np 
import numpy.polynomial.laguerre as geek
  
# Laguerre series coefficients
s = (1, 2, 3, 4, 5) 

  
# using np.lagpow() method 
res = geek.lagpow(s, pow = 4) 

# Resulting laguerre series
print (res)

Output:

[  1.88268525e+08  -4.12583040e+09   4.24806624e+10  -2.72789533e+11
   1.22285197e+12  -4.05794076e+12   1.03122236e+13  -2.04726003e+13
   3.20914270e+13  -3.98546302e+13   3.90872742e+13  -2.99578594e+13
   1.75922875e+13  -7.65283919e+12   2.32607876e+12  -4.41441000e+11
   3.94143750e+10]

Python | Numpy np.lagfit() method

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