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
, optionalInverse variance of
ydata
. If not set, it will be calculated based on the standard deviation.upper :
int
orfloat
, optionalUpper rejection threshold in units of sigma, defaults to 5 sigma.
lower :
int
orfloat
, optionalLower 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
tuple()
A tuple containing the fitted bspline object and an output mask.