Python | Numpy np.leggrid2d() method (original) (raw)

Last Updated : 31 Dec, 2019

**np.leggrid2d()** method is used to evaluate a 2-D legendre series on the Cartesian product of x and y.

Syntax : np.leggrid2d(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 legendre series coefficients ordered from low to high.

Return : [ndarray] The values of the two dimensional legendre series at points in the Cartesian product of x and y.

Code #1 :

import numpy as np

from numpy.polynomial.legendre import leggrid2d

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

ans = leggrid2d([ 7 , 9 ], [ 8 , 10 ], c)

print (ans)

Output:

[[ 4751.5 7351.5] [ 5965.5 9229.5]]

Code #2 :

import numpy as np

from numpy.polynomial.legendre import leggrid2d

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

ans = leggrid2d( 7 , 8 , c)

print (ans)

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