Let me give some results of experience regarding these issues.... On the same dataset of 600 *7500 points, with the simple plot function, (from the example, embedding in wxagg)
WxAgg was much faster than Wx... on a linux machine, while the WxAgg drawing appeared close to a second or 2 after launch..., the Wx drawing was displayed after 20 seconds. Same on Windows... Same pattern for GTK vs GTKAgg, though less dramatic... In a small app I wrote, containing 5 plotting windows (each containing around 500 datapoints) on linux, GTK take 1.2 - 1.3 sec to update the plots...GTKAgg took 0.7 - 0.8 sec... on windows, the difference is even larger, GTK is in average 3 times slower than GtKAgg... As for direct comparisons between TkAgg, GTKAgg, WxAgg... it's a bit tricky to time this stuff properly, so it's only my feelings that said that there was no extraordinary performance difference between the different backends (on the same datasets 600*7500 points). They pretty much felt the same, only thing is TkAgg having drawing problems when busy and the window being manipulated... jimmy > > There is some detail along these lines at > > http://matplotlib.sourceforge.net/faq/installing_faq.html#what-is-a-backend > > but not the feature-by-feature comparison you suggest. But for WX vs > WXAgg, definitely WXAgg. > It would be really nice to have some info regarding "speed". I don't know if one has to distinguish let's say the time it take to draw a line with 100k points and the "general" felling of interactive responsiveness !? (E.g. I thought that wx was much faster than wxAgg ... just uglier ) - Sebastian Haase ------------------------------------------------------------------------------ Enter the BlackBerry Developer Challenge This is your chance to win up to $100,000 in prizes! For a limited time, vendors submitting new applications to BlackBerry App World(TM) will have the opportunity to enter the BlackBerry Developer Challenge. See full prize details at: http://p.sf.net/sfu/Challenge _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- View this message in context: http://www.nabble.com/Backend-Comparison-tp24444974p24460335.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ Enter the BlackBerry Developer Challenge This is your chance to win up to $100,000 in prizes! For a limited time, vendors submitting new applications to BlackBerry App World(TM) will have the opportunity to enter the BlackBerry Developer Challenge. See full prize details at: http://p.sf.net/sfu/Challenge _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
