Ping, You should investigate scipy.optimize.lsqFit for using least squares to fit an arbitrary function and scipy.odr for regular or orthogonal least squares fitting.
barry On Dec 5, 2007 9:45 PM, Ping Yeh <[EMAIL PROTECTED]> wrote: > Hi, > > I have (x,y) data that I want to fit to the formula > y = a * x^b > to determine a and b. How can I do it? The current > manual only lists linear fit and polynomial fit. > > Or, putting it in a more general setting, is there a > module to do fitting to an arbitrary function? > It would be something like > > pars = fit(x, y, func) > > where func is a function like > > y = func(x, pars) > > with pars a 1-D array. > > Thanks, > Ping > > ------------------------------------------------------------------------- > SF.Net email is sponsored by: The Future of Linux Business White Paper > from Novell. From the desktop to the data center, Linux is going > mainstream. Let it simplify your IT future. > http://altfarm.mediaplex.com/ad/ck/8857-50307-18918-4 > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------- SF.Net email is sponsored by: The Future of Linux Business White Paper from Novell. From the desktop to the data center, Linux is going mainstream. Let it simplify your IT future. http://altfarm.mediaplex.com/ad/ck/8857-50307-18918-4 _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
