On Tue, May 5, 2009 at 1:04 PM, Ryan May <rma...@gmail.com> wrote: > On Tue, May 5, 2009 at 11:47 AM, Jose Gomez-Dans <jgomezd...@gmail.com> > wrote: >> >> Hi, >> I would like to plot a density slice scatter plot (when you have lots of >> points superimposed, it's very useful). An example from IDL/envi is here: >> <http://www2.geog.ucl.ac.uk/%7Eplewis/geog2021/practical1/scatter3.gif> >> >> My rustic approach to solving this problem has been to bin all my data >> points into a 2D array (each point that falls in a given cell adds one to >> that cell), and then use the c argument in scatterplot to map the color to >> the number of samples in the corresponding bin. Is there a better way of >> achieving this, as I need a fair bit of tweaking to get the color scales >> right? > > You might try looking at pyplot.hexbin: > > http://matplotlib.sourceforge.net/examples/pylab_examples/hexbin_demo.html > > Ryan
I've also had some luck with scipy.histogramdd and pylab.imshow (you have to work with the extent and aspect parameters to get the plot you want). I don't have a standalone demo of this, but if you try it and have trouble let me know and I'll try to make one. ------------------------------------------------------------------------------ The NEW KODAK i700 Series Scanners deliver under ANY circumstances! Your production scanning environment may not be a perfect world - but thanks to Kodak, there's a perfect scanner to get the job done! With the NEW KODAK i700 Series Scanner you'll get full speed at 300 dpi even with all image processing features enabled. http://p.sf.net/sfu/kodak-com _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
