Python | Numpy np.laggrid3d() method Last Updated : 29 Dec, 2019 Summarize Comments Improve Suggest changes Share Like Article Like Report 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, it is first converted to an ndarray, otherwise it is left unchanged and, if it isn’t an ndarray, it is treated as a scalar. c :[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high. Return : [ndarray] The values of the two dimensional Chebyshev series at points in the Cartesian product of x and y. Code #1 : Python3 # Python program explaining # numpy.laggrid3d() method # importing numpy as np import numpy as np from numpy.polynomial.laguerre import laggrid3d # Input laguerre series coefficients c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]]) # using np.laggrid3d() method ans = laggrid3d([7, 9], [8, 10], [5, 6], c) print(ans) Output: [[ -9521.5 -12198. ] [-19782.5 -25346. ]] Code #2 : Python3 # Python program explaining # numpy.laggrid3d() method # importing numpy as np import numpy as np from numpy.polynomial.laguerre import laggrid3d # Input laguerre series coefficients c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]]) # using np.laggrid3d() method ans = laggrid3d(7, 11, 12, c) print(ans) Output: 3275.5 Comment More infoAdvertise with us Next Article Python | Numpy np.leggrid3d() method J jana_sayantan Follow Improve Article Tags : Python Python-numpy Python numpy-Mathematical Function Practice Tags : python Similar Reads Python | Numpy np.leggrid3d() method np.leggrid3d() method is used to evaluate a 3-D legendre series on the Cartesian product of x, y and z. Syntax : np.leggrid3d(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 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.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.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.lagvander3d() method np.lagvander3d() method is used to returns the Vandermonde matrix of degree deg and sample points x, y and z. Syntax : np.lagvander3d(x, y, z, deg) Parameters: x, y, z :[ array_like ] Array of points. The dtype is converted to float64 or complex128 depending on whether any of the elements are comple 2 min read Like