`numpy.polynomial.chebyshev:Chebyshev.interpolate`

source: /numpy/polynomial/chebyshev.py :1958

Summary

Interpolate a function at the Chebyshev points of the first kind.

Extended Summary

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

func : function: The function to be interpolated. It must be a function of a single variable of the form f(x, a, b, c...), where a, b, c... are extra arguments passed in the args parameter.
deg : int: 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].
args : tuple, optional: Extra arguments to be used in the function call. Default is no extra arguments.

Returns

polynomial : Chebyshev instance: Interpolating Chebyshev instance.

Notes

See numpy.polynomial.chebinterpolate for more details.

Aliases

numpy.polynomial.Chebyshev.interpolate