Yes, I'm using the line2D.set_data function along with the draw_artist (and a blit). I haven't made a line collection object since I don't think it will speed it up by around the factor 5 that I want. I'll try that but I still think that the ability to grab a large section of the canvas and move it would speed things up considerably as well as be useful for other things.
Elan On Wed, Apr 22, 2009 at 1:10 PM, Ryan May <rma...@gmail.com> wrote: > On Wed, Apr 22, 2009 at 10:11 AM, Elan Pavlov <epav...@gmail.com> wrote: >> >> 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. > > Without a small example, it's hard to know for sure. Are you using > Line2D.set_data to update with new data or are you doing a new plot? Since > you have multiple graphs, have you looked at making a LineCollection object > by hand, which will decrease the number of function calls when drawing? > > Just some ideas, > > Ryan > > -- > Ryan May > Graduate Research Assistant > School of Meteorology > University of Oklahoma > Sent from Norman, Oklahoma, United States -- 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
