Python | Numpy np.laggrid2d() method (original) (raw)

Last Updated : 29 Dec, 2019

**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 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 :

import numpy as np

from numpy.polynomial.laguerre import laggrid2d

c = np.array([[ 1 , 3 , 5 ], [ 2 , 4 , 6 ]])

ans = laggrid2d([ 7 , 9 ], [ 8 , 10 ], c)

print (ans)

Output:

[[ -391. -783.] [ -543. -1087.]]

Code #2 :

import numpy as np

from numpy.polynomial.laguerre import laggrid2d

c = np.array([[ 1 , 3 , 5 ], [ 2 , 4 , 6 ]])

ans = laggrid2d( 7 , 8 , c)

print (ans)

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