numpy.polynomial.chebyshev.Chebyshev.interpolate#
method
- classmethod polynomial.chebyshev.Chebyshev.interpolate(func, deg, domain=None, args=())[source]#
Interpolate a function at the Chebyshev points of the first kind.
Returns the series that interpolates func at the Chebyshev points of the first kind scaled and shifted to the
domain. The resulting series tends to a minmax approximation of func when the function is continuous in the domain.- Parameters:
- funcfunction
The function to be interpolated. It must be a function of a single variable of the form
f(x, a, b, c...), wherea, b, c...are extra arguments passed in the args parameter.- degint
Degree of the interpolating polynomial.
- domain{None, [beg, end]}, optional
Domain over which func is interpolated. The default is None, in which case the domain is [-1, 1].
- argstuple, optional
Extra arguments to be used in the function call. Default is no extra arguments.
- Returns:
- polynomialChebyshev instance
Interpolating Chebyshev instance.
Notes
See numpy.polynomial.chebinterpolate for more details.