Václav Šmilauer wrote: > about a year ago I developed for my own purposes a routine for averaging > irregularly-sampled data using gaussian average.
is this similar to Kernel Density estimation? http://www.scipy.org/doc/api_docs/SciPy.stats.kde.gaussian_kde.html In any case, it sounds more like an appropriate contribution to scipy than MPL. > First it stores all data points in a (regular) grid. What if your data points are not on a regular grid? Wouldn't this be a way to interpolate onto such a grid? > Storing data in grid avoids searching all data points every > time, only those within certain grid-range will be used. another option would be to store the points in some sort of spatial index, like an r-tree. > I should be able to convert it to accept numpy arrays, key. > wrap using Python > API instead of boost::python I'd consider Cython for that. sounds like a useful module, -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov ------------------------------------------------------------------------------ Come build with us! The BlackBerry® Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9-12, 2009. Register now! http://p.sf.net/sfu/devconf _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
