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Python | Numpy np.lagder() method
  • Last Updated : 29 Dec, 2019
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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 :




# 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 :




# 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]

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