iterfit

pydl.pydlutils.bspline.iterfit(xdata, ydata, invvar=None, upper=5, lower=5, x2=None, maxiter=10, **kwargs)[source]

Iteratively fit a b-spline set to data, with rejection.

Parameters:

xdata : numpy.ndarray

Independent variable.

ydata : numpy.ndarray

Dependent variable.

invvar : numpy.ndarray

Inverse variance of ydata. If not set, it will be calculated based on the standard deviation.

upper : int or float

Upper rejection threshold in units of sigma, defaults to 5 sigma.

lower : int or float

Lower rejection threshold in units of sigma, defaults to 5 sigma.

x2 : numpy.ndarray, optional

Orthogonal dependent variable for 2d fits.

maxiter : int, optional

Maximum number of rejection iterations, default 10. Set this to zero to disable rejection.
Returns:

tuple()

A tuple containing the fitted bspline object and an output mask.