Anthony, When I do a quick test of line_collection.py versus a modification that makes individual plot calls, with the results written to a png file, I get about 1.05 s with the collection and 1.2 s with the lines. But a trivial plot still takes 0.52 seconds, so if you subtract out this general startup overhead the improvement with the line collection is about 30%.
It probably comes down to program simplicity and readability, not speed, in your case. Eric Anthony M. Floyd wrote: > I'm trying to figure out the best way to handle the following situation: > I have a wxApp that embeds a matplotlib figure in a panel. I use custom > code to control adding and removing series from the axes in this figure, > with some pretty fine grained control on when things get drawn, zoomed, > etc. To be clear, I'm not using pylab here, I'm coding directly into > matplotlib. > > Anyhow, I now have the case where I want to be plotting a modest number > of series (say 100) with a reasonably large density (say >1000 pts). > These series will all have the same or similar styles (thickness, > colour, etc) and will definitely have the same length. > > In context of my current app, I could achieve this simply by calling my > .addSeries routine multiple times. Or, I could use a Line Collection to > handle them en masse. > > The thing is, after taking a quick read through of the source code, I'm > not certain that I'm gaining anything by using a line collection in this > case. > > I did a quick comparison using the line_collection.py example, and even > using pylab there didn't seem to be any performance hit to doing: > > lines = [zip(x,y) for y in ys] > for series in x: > plot(lines[series]) > > Instead of using: > > line_segments = ... > ax.add_collection(line_segments) > > Can anyone give me advice if I should code targeting collections or to > just use my current single-series code? > > Thanks, > Anthony. > > > > -- > Anthony Floyd, PhD > Convergent Manufacturing Technologies Inc. > 6190 Agronomy Rd, Suite 403 > Vancouver BC V6T 1Z3 > CANADA > > Email: [EMAIL PROTECTED] | Tel: 604-822-9682 > WWW: http://www.convergent.ca | Fax: 604-822-9659 > > CMT is hiring: See http://www.convergent.ca for details > > > > ------------------------------------------------------------------------- > This SF.net email is sponsored by: Splunk Inc. > Still grepping through log files to find problems? Stop. > Now Search log events and configuration files using AJAX and a browser. > Download your FREE copy of Splunk now >> http://get.splunk.com/ > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------- This SF.net email is sponsored by: Splunk Inc. Still grepping through log files to find problems? Stop. Now Search log events and configuration files using AJAX and a browser. Download your FREE copy of Splunk now >> http://get.splunk.com/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
