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numpy.polynomial.polynomial.polyval3d(x, y, z, c)
[source] -
Evaluate a 3-D polynomial at points (x, y, z).
This function returns the values:
The parameters
x
,y
, andz
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
,y
, andz
or their elements must support multiplication and addition both with themselves and with the elements ofc
.If
c
has fewer than 3 dimensions, ones are implicitly appended to its shape to make it 3-D. The shape of the result will be c.shape[3:] + x.shape.Parameters: x, y, z : array_like, compatible object
The three dimensional series is evaluated at the points
(x, y, z)
, wherex
,y
, andz
must have the same shape. If any ofx
,y
, orz
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,k is contained in
c[i,j,k]
. Ifc
has dimension greater than 3 the remaining indices enumerate multiple sets of coefficients.Returns: values : ndarray, compatible object
The values of the multidimensional polynomial on points formed with triples of corresponding values from
x
,y
, andz
.See also
Notes
New in version 1.7.0.
numpy.polynomial.polynomial.polyval3d()
2017-01-10 18:17:50
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