iterfit¶
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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 rejection threshold in units of sigma, defaults to 5 sigma.
Lower rejection threshold in units of sigma, defaults to 5 sigma.
x2 :
numpy.ndarray
, optionalOrthogonal dependent variable for 2d fits.
maxiter :
int
, optionalMaximum number of rejection iterations, default 10. Set this to zero to disable rejection.
Returns: A tuple containing the fitted bspline object and an output mask.