Andreas, With respect to the large PDF file, while hexbin() would help in that regards, if you need further improvement in filesize, there is a kwarg for some plotting functions: rasterized=True. You might need to use a svn checkout of matplotlib for it to work though, but I am dealing with the same problem as well.
Ben Root On Fri, May 21, 2010 at 3:24 PM, Andreas Hilboll <li...@hilboll.de> wrote: > > You want to make a kernel density estimate (a.k.a. a "heatmap"). > > Thanks for the link, i'll look into it and compare it to the suggested > hexbin(). > > > This approach would > > likely > > be a bit slow if you have a very large number of points, though. It's > > usually less visually messy to just plot the image > > Well, that's not an option. I once tried to create a 'normal' scatterplot > of my data (it's a couple of million points), and that took a *long* time. > Plus, it made me see a 700M pdf file for the first time in my life ;) > > Cheers, > > Andreas. > > > > ------------------------------------------------------------------------------ > > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >
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