Python | Numpy np.lagfit() method

Python | Numpy np.laggrid3d() method

Last Updated : 29 Dec, 2019

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

Python | Numpy np.lagfit() method

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