smpl.fit

Simplified Fitting.

Uses scipy.curve_fit (no x errors) or scipy.odr (with x errors).

Functions

Chi2(datax, datay, function, ff, **kwargs)	Chi2 - Goodness of Fit
R2(datax, datay, function, ff, **kwargs)	R2 - Coefficient of determination
auto(datax, datay[, funcs])	Automatically loop over functions and fit the best one.
data_split(datax, datay, **kwargs)	Split data + errors
fit(datax, datay, function, **kwargs)	Returns a fit of function to datax and datay.
fit_kwargs(kwargs)	Set default fit_kwargs() if not set.
fit_split(datax, datay, **kwargs)	Splits datax and datay into (x,y,xerr,yerr).

Classes

Fitter(value)

Different implementations to perform a fit.