Python | Numpy np.lagzero() method

Python | Numpy np.lagder() method

Last Updated : 29 Dec, 2019

np.lagroots() method is used to differentiate a Laguerre series.

Syntax : np.lagder(c, m=1, scl=1, axis=0) Parameters: c :[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high. m :[int, optional] Number of derivatives taken, must be non-negative.Default is 1. scl :[scalar, optional] Each differentiation is multiplied by scl .Default is 1. axis :[ int, optional] Axis over which the derivative is taken.Default is 0. Return : [ndarray] Laguerre series of the derivative.

Code #1 :

Python3

# Python program explaining
# numpy.lagder() 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.lagder() method 
res = geek.lagder(s) 

# Resulting laguerre series coefficient
print (res)

Output:

[-12.  -8.]

Code #2 :

Python3

# Python program explaining
# numpy.lagder() 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.lagder() method 
res = geek.lagder(s, m = 2, scl = 0.5) 

# Resulting laguerre series
print (res)

Output:

[ 6.5   3.5   1.25]

Python | Numpy np.lagzero() method

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