numpy.polynomial.chebyshev.chebval2d¶
- numpy.polynomial.chebyshev.chebval2d(x, y, c)[source]¶
Evaluate a 2-D Chebyshev series at points (x, y).
This function returns the values:
p(x,y) = \sum_{i,j} c_{i,j} * T_i(x) * T_j(y)
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 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), 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 2 the remaining indices enumerate multiple sets of coefficients.
Returns: values : ndarray, compatible object
The values of the two dimensional Chebyshev series at points formed from pairs of corresponding values from x and y.
See also
Notes