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, 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] legendre series coefficients.Return : [ndarray] The values of the two dimensional legendre series at points in the Cartesian product of x and y.
Code #1 :
# Python program explaining # numpy.leggrid3d() method # importing numpy as np import numpy as np from numpy.polynomial.legendre import leggrid3d # Input legendre series coefficients c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]]) # using np.leggrid3d() method ans = leggrid3d([7, 9], [8, 10], [5, 6], c) print(ans) |
Output:
[[ 878011. 1034500.5] [ 1351191. 1592014.5]]
Code #2 :
# Python program explaining # numpy.leggrid3d() method # importing numpy as np import numpy as np from numpy.polynomial.legendre import leggrid3d # Input legendre series coefficients c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]]) # using np.leggrid3d() method ans = leggrid3d(7, 11, 12, c) print(ans) |
Output:
176982.0



