From: Sebastian H. <ha...@ms...> - 2004-06-25 22:33:29
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Hi John, I wanted to try matplotlib a few days ago, but first I had some trouble compiling it (my debian still uses gcc 2-95, which doesn't understand some 'std' namespace/template stuff) - and then it compiled, but segfaulted. Maybe I didn't get "set NUMERIX" stuff right - how do I know that it actually built _and_ uses the wx-backend ? BTW, from the profiling/timing I did you can tell that wxPyPlot actually plots 25000 data points in 0.1 secs - so it's _really_ fast ... So it would be nice to get to the ground of this ... Thanks for the comment, Sebastian On Friday 25 June 2004 02:12 pm, John Hunter wrote: > >>>>> "Sebastian" == Sebastian Haase <ha...@ms...> writes: > > Sebastian> Hi, The long story is that I'm looking for a good/fast > Sebastian> graph plotting programs; so I found WxPyPlot > Sebastian> (http://www.cyberus.ca/~g_will/wxPython/wxpyplot.html) > Sebastian> It uses wxPython and plots 25000 data points (with > Sebastian> lines + square markers) in under one second - using > Sebastian> Numeric that is. > > Not an answer to your question .... > > matplotlib has full numarray support (no need to rely on sequence > API). You need to set NUMERIX='numarray' in setup.py before building > it *and* set numerix : numarray in the matplotlib rc file. If you > don't do both of these things, your numarray performance will suffer, > sometimes dramatically. > > With this test script > > from matplotlib.matlab import * > N = 25000 > x = rand(N) > y = rand(N) > scatter(x,y, marker='s') > #savefig('test') > show() > > You can do a scatter plot of squares, on my machine in under a second > using numarray (wxagg or agg backend). Some fairly recent changes to > matplotlib have moved this drawing into extension code, with an approx > 10x performance boost from older versions. The latest version on the > sf site (0.54.2) however, does have these changes. > > To plot markers with lines, you would need > > plot(x,y, marker='-s') > > instead of scatter. This is considerably slower (approx 3s on my > system), mainly because I haven't ported the new fast drawing of > marker code to the line class. This is an easy fix, however, and will > be added in short order. > > JDH > > > > ------------------------------------------------------- > This SF.Net email sponsored by Black Hat Briefings & Training. > Attend Black Hat Briefings & Training, Las Vegas July 24-29 - > digital self defense, top technical experts, no vendor pitches, > unmatched networking opportunities. Visit www.blackhat.com > _______________________________________________ > Numpy-discussion mailing list > Num...@li... > https://lists.sourceforge.net/lists/listinfo/numpy-discussion |