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.
This is with matplotlib 0.90, numpy 1.0.3, wxPython 2.8.4, Python 2.5,
Windows XP, WxAgg (pure Python implementation).
Thank you for every suggestion, and sorry for the long post.
Andrea.
"Imagination Is The Only Weapon In The War Against Reality."
http://xoomer.virgilio.it/infinity77/
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