Python | Numpy np.lagtrim() method Last Updated : 23 Jan, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report With the help of np.lagtrim() method, we can trim the small trailing values of the polynomial by using np.lagtrim() method. Syntax : np.lagtrim(c, tol) Return : Return the trimmed values from the polynomial. Example #1 : In this example we can see that by using np.lagtrim() method, we are able to get the trimmed values of a polynomial by removing trailing values by using this method. Python3 1=1 # import numpy and lagtrim import numpy as np from numpy.polynomial.laguerre import lagtrim # using np.lagtrim() method gfg = lagtrim([1, 2, 3, 0, 0], 0) print(gfg) Output : [1. 2. 3.] Example #2 : Python3 1=1 # import numpy and lagtrim import numpy as np from numpy.polynomial.laguerre import lagtrim # using np.lagtrim() method gfg = lagtrim([0, 1, 2, 3], 3) print(gfg) Output : [0.] Comment More infoAdvertise with us Next Article Python | Numpy np.lagfit() method J jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-Mathematical Function Practice Tags : python Similar Reads 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.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.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.laggrid2d() method np.laggrid2d() method is used to evaluate a 2-D Laguerre series on the Cartesian product of x and y. Syntax : np.laggrid2d(x, y, c) Parameters: x, y :[array_like]The two dimensional series is evaluated at the points in the Cartesian product of x and y. If x or y is a list or tuple, it is first conve 2 min read Python | Numpy np.laggrid3d() method np.laggrid3d() method is used to evaluate a 3-D Laguerre series on the Cartesian product of x, y and z. Syntax : np.laggrid3d(x, y, z, c) Parameters: x, y, z :[array_like]The three dimensional series is evaluated at the points in the Cartesian product of x, y and z. If x or y or z is a list or tuple 2 min read Like