numpy.polynomial.chebyshev.chebval3d¶

numpy.polynomial.chebyshev.
chebval3d
(x, y, z, c)[source]¶ Evaluate a 3D Chebyshev series at points (x, y, z).
This function returns the values:
The parameters x, y, and z 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, either x, y, and z or their elements must support multiplication and addition both with themselves and with the elements of c.
If c has fewer than 3 dimensions, ones are implicitly appended to its shape to make it 3D. The shape of the result will be c.shape[3:] + x.shape.
 Parameters
 x, y, zarray_like, compatible object
The three dimensional series is evaluated at the points (x, y, z), where x, y, and z must have the same shape. If any of x, y, or z 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 multidegree i,j,k is contained in
c[i,j,k]
. If c has dimension greater than 3 the remaining indices enumerate multiple sets of coefficients.
 Returns
 valuesndarray, compatible object
The values of the multidimensional polynomial on points formed with triples of corresponding values from x, y, and z.
See also
Notes
New in version 1.7.0.