Python | Numpy np.lagder() method (original) (raw)

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 :

import numpy as np

import numpy.polynomial.laguerre as geek

s = ( 2 , 4 , 8 )

res = geek.lagder(s)

print (res)

Code #2 :

import numpy as np

import numpy.polynomial.laguerre as geek

s = ( 1 , 2 , 3 , 4 , 5 )

res = geek.lagder(s, m = 2 , scl = 0.5 )

print (res)

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