spline_fitter

jwst.residual_fringe.fitter.spline_fitter(x, y, weights, knots, degree, reject_outliers=False, domain=10, tolerance=0.0001)[source]

Fit a spline function to 1D data.

Parameters:

xndarray: Independent variable. Must be increasing.
yndarray: Dependent variable, matching dimensions of x.
weightsndarray: Weights for spline fitting. Must be positive.
knotsndarray: Interior knots for the spline.
degreeint: Degree of the spline to fit, >= 1 and <= 5.
reject_outliersbool, optional: If True, iteratively fit the data with outlier rejection.
domainint, optional: Factor controlling the outlier threshold when reject_outliers is True.
tolerancefloat, optional: Fit convergence tolerance when reject_outliers is True.

Returns: