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numpy.polynomial.legendre.leggrid2d(x, y, c)
[source] -
Evaluate a 2-D Legendre 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 takinga
fromx
andb
fromy
. The resulting points form a grid withx
in the first dimension andy
in the second.The parameters
x
andy
are converted to arrays only if they are tuples or a lists, otherwise they are treated as a scalars. In either case, eitherx
andy
or their elements must support multiplication and addition both with themselves and with the elements ofc
.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, y : array_like, compatible objects
The two dimensional series is evaluated at the points in the Cartesian product of
x
andy
. Ifx
ory
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
Array of coefficients ordered so that the coefficient of the term of multi-degree i,j is contained in
c[i,j]
. Ifc
has dimension greater than two the remaining indices enumerate multiple sets of coefficients.Returns: values : ndarray, compatible object
The values of the two dimensional Chebyshev series at points in the Cartesian product of
x
andy
.Notes
numpy.polynomial.legendre.leggrid2d()
2017-01-10 18:17:31
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