Sounds like what you are looking for is spline interpolation. Given a set of datapoints is passes spline curves through each point giving you smooth transitions. Did a lot of this in Fortran MANY years ago.
Google turned up: http://www.scipy.org/documentation/apidocs/scipy/scipy.interpolate.html http://cmp.felk.cvut.cz/~kybic/thesis/pydoc/bigsplines.html http://www.mirror5.com/software/plotutils/plotutils.html Good Luck Larry Bates John J. Lee wrote: > "Anthra Norell" <[EMAIL PROTECTED]> writes: > > >>Hi, >> >>The following are differences of solar declinations from one day to >>the next, (never mind the unit). Considering the inertia of a >>planet, any progress of (apparent) celestial motion over regular >>time intervals has to be highly regular too, meaning that a plot >>cannot be jagged. The data I googled out of Her Majesty's Nautical >>Almanac are merely nautical precision and that, I suppose, is where >>the jitter comes in. There's got to be algorithms out there to iron >>it out. If it were a straight line, I could do it. But this, over >>the whole year, is a wavy curve, somthing with a dominant sine >>component. Suggestions welcome. > > > The important thing is to have a (mathematical, hopefully) model of > how you expect the data to vary with time. Start from there, and > then, for example, use regression to fit a curve to the data. > > The "Numerical Recipes" (Press et al.) book is popular and IMHO is a > good place to learn about these things (comes in several language > flavours, including Fortran and C -- sadly no Python AFAIK), though > the implementations aren't a great choice for serious "production" > use, according to those in the know. > > OTOH, there are quick and dirty methods that don't involve any model > worth speaking of -- and Press et al. covers those too :-) > > > John > -- http://mail.python.org/mailman/listinfo/python-list
