On 17 February 2014 22:15, "André Walker-Loud <walksl...@gmail.com>" <walksl...@gmail.com> wrote: >> This particular case is easily solved: >> >> def f_lambda(x,pars): >> return lambda x: poly(x,*pars) >> >> You let the closure take care of pars and return a function that takes >> exactly one argument x. > > Hi Oscar, > > This is the opposite of what I am trying to do. In the example, x represents > the data and pars represent the parameters I want to determine, so it is the > pars which I need passed into the "func_code.co_varnames" part of f.
BTW if you're trying to fit the coefficients of a polynomial then a general purpose optimisation function is probably not what you want to use. I would probably solve (in a least squares sense and after suitable scaling) the Vandermonde matrix. (I can explain that more if desired.) Oscar _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: https://mail.python.org/mailman/listinfo/tutor
