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 :

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)

`

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)

`