Hi everyone, Quite recently I started out with learning Python, IPython, SciPy and Matplotlib, to try see if I could replace some data analysis software that was previously written in LabVIEW. Slowly I'm getting sort-of the hang of it, but I've run into a few problems, and I'm now looking around for some advice...
Main issue is Matplotlib's performance. I'm trying to plot a current trace from a physics experiment, containing about 300,000 data points. In LabVIEW, one can easily browse through a data set like this, but I haven't been able yet to get such a good performance with IPython+Matplotlib. Especially scrolling/panning through the data is sluggish. (Anyone knows how to add a scrollbar for this instead of panning with the mouse, btw?) I know this is an extremely vague description of the problem, but perhaps someone can give some general advice on improving performance? I read something about data clipping, but this doesn't work in my version of Matplotlib --- the Line2D object doesn't seem to have a property "data_clippied" anymore. Also, I read that someone had written an EEG display program (both in the user's guide and on the examples page), which certainly looked very good. So it must be possible... :) In any case, some more details about my system: Windows XP SP2, 2.8 GHz dual core processor with 1 GB RAM; running Python 2.5.1, IPython 0.8.2, Matplotlib 0.90.1, NumPy 1.0.5, SciPy 0.6.0.0006. Very much looking forward to a small discussion on the subject... Thanks a lot in advance! Best regards, -- Onno Broekmans ------------------------------------------------------------------------- This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
