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# numpy.polynomial.polynomial.polyval3d

`numpy.polynomial.polynomial.``polyval3d`(x, y, z, c)

  Evaluate a 3-D polynomial 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 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), 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. 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]`. If c 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, and z.

  See also

  `polyval`, `polyval2d`, `polygrid2d`, `polygrid3d`

  Notes

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