Hi,
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?
I'm sure someone else has done this since it seems pretty natural and
useful for a variety of applications.
Elan
----
"If stupidity got us into this mess, why can't it get us out?"
- Will Rogers
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