I'm trying to use matplotlib for animating data as it is received from an online source (online in the algorithmic sense not internet:). I'd like the graph plot to be updated with high frequency since the data changes rapidly. I've used the BufferRegion with copy_from_bbox / restore_region and it speeds up the plotting considerably but alas it's still not good enough (with a large number of graphs and a large number of data points in each graph).
What I'd like to do is to utilize the fact that the animation is updated in a predictable fashion (i.e., scrolling off the screen to the left as new data arrives) in order to speed up the animation. The idea would be to copy the right 99% of the graph (or some other fraction) via some kind of function similar to copy_from_bbox, move it 1% to the left and then plot the new 1% of the data. The problem is that as far as I can tell the copy_from_bbox/restore_region does not actually allow changing the area in which it is restored. I've mucked around in the source files a bit but to no avail. My question is then: 1. Is there some other way to copy everything enclosed in a Bbox? or 2. Is there some way to modify the region in which data reappears when using restore_region? 3. Perhaps I'm missing something? It would also be nice if it was possible to transform the plot (i.e. make it larger/smaller depending on how the y-axis changes) although I suppose this is doable via using an auxiliary canvas. I'm sure someone else has done this since it seems pretty natural and useful for a variety of applications. -- If I knew that a man was coming to my house with the conscious design of doing me good, I should run for my life. - Henry David Thoreau ------------------------------------------------------------------------------ Stay on top of everything new and different, both inside and around Java (TM) technology - register by April 22, and save $200 on the JavaOne (SM) conference, June 2-5, 2009, San Francisco. 300 plus technical and hands-on sessions. Register today. Use priority code J9JMT32. http://p.sf.net/sfu/p _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
