On Nov 15, 2007 12:53 PM, Michael Droettboom <[EMAIL PROTECTED]> wrote:
> Thought some of you may be interested to know that the speed on the
> branch is getting much better. Whereas earlier the branch was about 2x
> slower than the trunk, now most things are close to equal with the trunk
> speed-wise (with a few outliers for some things such as auto legends,
> quivers and the pcolor stuff that Eric and I have been working on).
Hey Michael, this is very encouraging I just wanted to let know about
another important use case which I think you are aware of because
you've referred to optimized marker drawing in the past, but this is
something I put a lot of effort into (the agg cached marker rasters in
extension code) because it is an important use case. The script below
is a useful test, with performance numbers below
import time
import numpy as n
import matplotlib
matplotlib.use('Agg')
from pylab import figure
fig = figure()
ax = fig.add_subplot(111)
for i in range(1,7):
N = 10**i
x, y = n.random.rand(2,N)
ax.cla()
tstart = time.time()
ax.plot(x, y, 'o')
fig.canvas.draw()
print 'N=%d; elapsed=%1.3f'%(N, time.time()-tstart)
Trunk:
N=10; elapsed=0.139
N=100; elapsed=0.092
N=1000; elapsed=0.082
N=10000; elapsed=0.133
N=100000; elapsed=0.594
N=1000000; elapsed=5.193
Branch:
N=10; elapsed=0.207
N=100; elapsed=0.118
N=1000; elapsed=0.138
N=10000; elapsed=0.280
N=100000; elapsed=1.671
N=1000000; elapsed=15.877
> log_demo.py 1.769 2.011 0.242 113%
Here is another area where there is an important difference. Panning
and zooming interactively with log scaling is much slower on the
branch, presumably because you have to redo the non-affine part every
time. Also, the old grid line bug on log plots seems to be back, as
evinced when you zoom from the "home" view.
Anyway, with a few exceptional cases, your new timing results are
starting to look very promising.
Thanks,
JDH
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