On 5/31/07, Andrea Gavana <[EMAIL PROTECTED]> wrote: > Hi All, > > I am writing an application (wxPython based) which embeds a big > matplotlib figure as a main panel. Basically, this app shows oil well > producers and gas injectors on a 2D map as dots (every dot represents > its surface location), and a bunch of "streamlines" (i.e., straight > lines or simple curves) which connect injectors and producers. > As the numerical simulation continues, more and more streamlines are > added to the plot (because of new wells or because interference > between wells), and actually I end up having 200 dots plus 800-1200 > lines. As the simulation progresses, the plots become slower and > slower... > As the lines are usually 2-points straight lines, I was thinking about > using Line Collections; however, every matplotlib line has a linewidth > value that is dependent on the calculated "interference" effect > between wells, which means I have to build a matplotlib line for every > line connecting an injector with a producer. Moreover, every injector > well has its own colour for the streamlines (there are 33 injector > wells). > Will Line Collections save some time in this case? If not, does anyone > have a suggestion on how I could try to speed-up the plotting? I am > not really familiar with some obscure line/axes properties, so I may > have overlooked something.
Yes, a line collection will save you a lot of time with upwards of 1000 line segments. This is the use case they were designed to solve: a bunch of segments of differing widths and colors. One could optimize it for the special case of simple line segments, ie [(x1,y1), (x2, y2)] in which case we could use numpy arrays, but currently we have only the general case of a collection of arbitrary length segments, and since they are not necessarily the same length, we use a sequence of segments rather than an array, and this is slower than it could be. JDH ------------------------------------------------------------------------- This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
