This is documentation for an old release of NumPy (version 1.15). Read this page in the documentation of the latest stable release (version 2.2).
numpy.polynomial.polynomial.polyval2d¶
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numpy.polynomial.polynomial.polyval2d(x, y, c)[source]¶ Evaluate a 2-D polynomial at points (x, y).
This function returns the value
The parameters x and y 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 and y or their elements must support multiplication and addition both with themselves and with the elements of c.
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.
Parameters: - x, y : array_like, compatible objects
The two dimensional series is evaluated at the points (x, y), where x and y must have the same shape. If x or y 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]. If c 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 and y.
See also
Notes
New in version 1.7.0.