numpy.polynomial.hermite_e.hermeval2d
-
numpy.polynomial.hermite_e.hermeval2d(x, y, c)
[source] -
Evaluate a 2-D HermiteE series at points (x, y).
This function returns the values:
The parameters
x
andy
are converted to arrays only if they are tuples or a lists, otherwise they are treated as a scalars and they must have the same shape after conversion. In either case, eitherx
andy
or their elements must support multiplication and addition both with themselves and with the elements ofc
.If
c
is a 1-D array a one is implicitly appended to its shape to make it 2-D. The shape of the result will be c.shape[2:] + x.shape.Parameters: x, y : array_like, compatible objects
The two dimensional series is evaluated at the points
(x, y)
, wherex
andy
must have the same shape. 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 polynomial at points formed with pairs of corresponding values from
x
andy
.See also
Notes
© 2008–2017 NumPy Developers
Licensed under the NumPy License.
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.polynomial.hermite_e.hermeval2d.html