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

Last Updated : 29 Dec, 2019

**np.lagpow()** method is used to raise a Laguerre series to a given power.It returns the Laguerre series c raised to the power pow.

Syntax : np.lagpow(c, pow, maxpower=16)
Parameters:
**c :**[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high.
**pow :**[integer] Power to which the series will be raised.
**maxpower :**[integer, optional] Maximum allowed power.Default is 16.

Return : [ndarray] Laguerre series of power.

Code #1 :

import numpy as np

import numpy.polynomial.laguerre as geek

s = ( 2 , 4 , 8 )

res = geek.lagpow(s, pow = 3 )

print (res)

Output:

[ 3176. -25680. 100512. -206592. 246528. -161280. 46080.]

Code #2 :

import numpy as np

import numpy.polynomial.laguerre as geek

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

res = geek.lagpow(s, pow = 4 )

print (res)

Output:

[ 1.88268525e+08 -4.12583040e+09 4.24806624e+10 -2.72789533e+11 1.22285197e+12 -4.05794076e+12 1.03122236e+13 -2.04726003e+13 3.20914270e+13 -3.98546302e+13 3.90872742e+13 -2.99578594e+13 1.75922875e+13 -7.65283919e+12 2.32607876e+12 -4.41441000e+11 3.94143750e+10]

Similar Reads

• Python | Numpy np.lag2poly() method np.lag2poly() method is used to convert a Laguerre series to a polynomial. Syntax : np.lag2poly(c) Parameters: c :[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high. Return : [ndarray] 1-D array containing the coefficients of the equivalent polynomial. Code #1 : # Pytho 1 min read
• Python | Numpy np.lagone() method np.lagone() method can be used instead of np.ones for creating a array whose elements are 1. Syntax : np.lagone() Return : Return array([1]) Example #1 : # Python program explaining # numpy.lagone() method # import numpy and lagone import numpy as np from numpy.polynomial.laguerre import lagone # us 1 min read
• Python | Numpy np.lagzero() method np.lagzero() method can be used instead of np.zeros for creating a array whose elements are 0. Syntax : np.lagzero() Return : Return array([0]) Example #1 : # Python program explaining # numpy.lagzero() method # import numpy and lagzero import numpy as np from numpy.polynomial.laguerre import lagzer 1 min read
• Python | Numpy np.lagfit() method With the help of np.lagfit() method, we can get the least squares fit of laguerre series of a given data by using np.lagfit() method. Syntax : np.lagfit(x, y, deg) Return : Return the least squares fit of laguerre series to data. Example #1 : In this example we can see that by using np.lagfit() meth 1 min read
• 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, 1 min read
• Python | Numpy np.lagmul() method np.lagmul() method is used to multiply one Laguerre series to another.It returns the product of two Laguerre series c1 * c2. Syntax : np.lagmul(c1, c2) Parameters: c1, c2 :[ array_like ] 1-D arrays of Laguerre series coefficients ordered from low to high. Return : [ndarray] Laguerre series coefficie 1 min read
• Python | Numpy np.lagdiv() method np.lagdiv() method is used to divide one Laguerre series to another.It returns the quotient-with-remainder of two Laguerre series c1 / c2. Syntax : np.lagdiv(c1, c2) Parameters: c1, c2 :[ array_like ] 1-D arrays of Laguerre series coefficients ordered from low to high. Return : [ndarray] Laguerre se 1 min read
• Python | Numpy np.lagadd() method np.lagadd() method is used to add one Laguerre series to another.It returns the sum of two Laguerre series c1 + c2. Syntax : np.lagadd(c1, c2) Parameters: c1, c2 :[ array_like ] 1-D arrays of Laguerre series coefficients ordered from low to high. Return : [ndarray] Array representing the Laguerre se 1 min read
• Python | Numpy np.lagroots() method np.lagroots() method is used to compute the roots of a Laguerre series.Return the roots of the polynomial. Syntax : np.lagroots(c) Parameters: c :[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high. Return : [ndarray] Array of the roots of the series. If all the roots ar 1 min read
• Python | Numpy np.lagsub() method np.lagub() method is used to subtract one Laguerre series to another.It returns the difference of two Laguerre series c1 - c2. Syntax : np.lagub(c1, c2) Parameters: c1, c2 :[ array_like ] 1-D arrays of Laguerre series coefficients ordered from low to high. Return : [ndarray] Laguerre series coeffici 1 min read