Python | Numpy np.lagval() method Last Updated : 23 Jan, 2020 Comments Improve Suggest changes Like Article Like Report 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 point x by using this method. Python3 1=1 # import numpy and lagval import numpy as np from numpy.polynomial.laguerre import lagval x = 2 c = np.array([3, 10]) # import np.lagval() method gfg = lagval(x, c) print(gfg) Output : -7.0 Example #2 : Python3 1=1 # import numpy and lagval import numpy as np from numpy.polynomial.laguerre import lagval x = np.array([[1, 5], [2, 10]]) c = np.array([3, 1]) # import np.lagval() method gfg = lagval(x, c) print(gfg) Output : [[ 3. -1.] [ 2. -6.]] Comment More infoAdvertise with us Next Article Python | Numpy np.lagval() method J Jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-Mathematical Function Practice Tags : python Similar Reads Python | Numpy np.lagval2d() method With the help of np.lagval2d() method, we can get the 2-D laguerre series at point x by using np.lagval2d() method. Syntax : np.lagval2d(x, y, c) Return : Return the 2-D laguerre series at point x and y. Example #1 : In this example we can see that by using np.lagval2d() method, we are able to get t 1 min read Python | Numpy np.lagval3d() method With the help of np.lagval3d() method, we can get the 3-D laguerre series at point x by using np.lagval3d() method. Syntax : np.lagval3d(x, y, z, c) Return : Return the 3-D laguerre series at point x, y and z. Example #1 : In this example we can see that by using np.lagval3d() method, we are able to 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.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.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.lagvander() method With the help of np.lagvander() method, we can get the Pseudo-Vandermonde matrix from given array having degree which is passed as parameter by using np.lagvander() method. Syntax : np.lagvander(arr, degree) Parameters: arr :[ array_like ] Array of points. The dtype is converted to float64 or comple 2 min read 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 : Python3 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.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 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 Like