# 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.

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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 coefficientprint (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 coefficientss = (1, 2, 3, 4, 5)       # using np.lagder() method res = geek.lagder(s, m = 2, scl = 0.5)   # Resulting laguerre seriesprint (res)
Output:
[ 6.5   3.5   1.25]

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