# numpy.polynomial.laguerre.laggrid2d#

polynomial.laguerre.laggrid2d(x, y, c)[source]#

Evaluate a 2-D Laguerre series on the Cartesian product of x and y.

This function returns the values:

$p(a,b) = \sum_{i,j} c_{i,j} * L_i(a) * L_j(b)$

where the points (a, b) consist of all pairs formed by taking a from x and b from y. The resulting points form a grid with x in the first dimension and y in the second.

The parameters x and y are converted to arrays only if they are tuples or a lists, otherwise they are treated as a scalars. In either case, either x and y or their elements must support multiplication and addition both with themselves and with the elements of c.

If c has fewer than two dimensions, ones are implicitly appended to its shape to make it 2-D. The shape of the result will be c.shape[2:] + x.shape + y.shape.

Parameters:
x, yarray_like, compatible objects

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.

carray_like

Array of coefficients ordered so that the coefficient of the term of multi-degree i,j is contained in c[i,j]. If c has dimension greater than two the remaining indices enumerate multiple sets of coefficients.

Returns:
valuesndarray, compatible object

The values of the two dimensional Chebyshev series at points in the Cartesian product of x and y.

Notes

New in version 1.7.0.

Examples

>>> from numpy.polynomial.laguerre import laggrid2d
>>> c = [[1, 2], [3, 4]]
>>> laggrid2d([0, 1], [0, 1], c)
array([[10.,  4.],
[ 3.,  1.]])