Python | Numpy np.lagsub() method Last Updated : 29 Dec, 2019 Comments Improve Suggest changes Like Article Like Report 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 coefficients representing their difference. Code #1 : Python3 # Python program explaining # numpy.lagsub() 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 s1 = (2, 4, 8) s2 = (1, 3, 5) # using np.lagsub() method res = geek.lagsub(s1, s2) # Resulting laguerre series print (res) Output: [ 1. 1. 3.] Code #2 : Python3 # Python program explaining # numpy.lagub() 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 s1 = (10, 20, 30, 40, 50) s2 = (2, 4, 6, 8, 10) # using np.lagsub() method res = geek.lagsub(s1, s2) # Resulting laguerre series print (res) Output: [ 8. 16. 24. 32. 40.] Comment More infoAdvertise with us Next Article Python | Numpy np.lagsub() method jana_sayantan Follow Improve Article Tags : Python Python-numpy Python numpy-Mathematical Function Practice Tags : python Similar Reads Python | Numpy np.legsub() method np.legub() method is used to subtract one Legendre series to another.It returns the difference of two Legendre series c1 - c2. Syntax : np.legub(c1, c2) Parameters: c1, c2 :[ array_like ] 1-D arrays of Legendre series coefficients ordered from low to high. Return : [ndarray] Legendre series coeffici 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.lagmulx() method With the help of np.lagmulx() method, we can get the multiplication of Laguerre series with x by using np.lagmulx() method, where x is an independent variable. Syntax : np.lagmulx(series) Return : Return the coefficient of series after multiplication. Example #1 : In this example we can see that by 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.lagval() method With the help of np.lagval() method, we can get the laguerre series at point x by using np.lagval() method. Syntax : np.lagval(x, c) Return : Return the laguerre series at point x. Example #1 : In this example we can see that by using np.lagval() method, we are able to get the laguerre series at poi 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.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.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.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.lagpow() method 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 2 min read Like