This is now committed to svn trunk, with slight changes in its api.
An example is added (examples/animation/animation_blit_gtk2.py).
-JJ
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On Thu, Apr 23, 2009 at 2:32 PM, Elan Pavlov epav...@gmail.com wrote:
Hi Jae-Joon,
Thanks a ton! The problem is actually not the frequency of changes.
The current method uses draw_artist on each update. However, the time
for draw_artist is linear in the *number* of points so for graphs with
a
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
On Mon, Apr 20, 2009 at 4:34 PM, Elan Pavlov e...@mit.edu wrote:
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
Hi Jae-Joon,
Thanks a ton! The problem is actually not the frequency of changes.
The current method uses draw_artist on each update. However, the time
for draw_artist is linear in the *number* of points so for graphs with
a large amount of data it is extremely inefficient. Your patch means
that
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
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
