numpy.polynomial.laguerre.laggrid2d

numpy.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:

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.

See also

lagval, lagval2d, lagval3d, laggrid3d

Notes

New in version 1.7.0.