Python | Numpy np.lagder() method

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]