Hello Ian,
I'm really sorry for my comment, it was not my intention to offend anyone.
You are absolutely right about that, therefore I would like to apologize
to all developers, in particular to you, for my comment regarding the
matlab comparison.
The only thing I can promise is that won't happen again... sorry!!!
You said that the obsolete triplot has the same code lines. I don't know
what has changed between the two versions, but the fact is that I made
many plots when I was using mpl_tri (yes, it take a while, but not so
long as with the new version).
Best regards,
Alberto
On 05-07-2010 9:17, Ian Thomas wrote:
Hello again Alberto,
On 4 July Alberto Azevedo wrote:
When I use the triplot function with 100-1000 points it works
well. The
problem is that in my work I often use grids with 30000-100000
points. With those grids triplot takes a long time to compute (I never
wait for the results, it takes really a long time).
Yes, it does indeed take a long time for large grids. The bottleneck
is line 51 in lib/matplotlib/tri/triplot - I use the plot command
which creates a separate Line2D object for each edge in the
triangulation, and there can be a lot of edges. There is an obvious
improvement of replacing this with a single LineCollection object, but
it would require some manipulation of the line styles, colours, etc
that the plot command does and I don't yet understand it sufficiently.
The matlab triplot function takes just a few seconds, with the same
grids).
It's bad etiquette to indicate that matlab is faster when addressing
people who give up their free time to improve matplotlib, and possibly
counter-productive.
And when I was using mpl_tri package, I never had this problem
(the triplot function was faster!!!)
Not true, the final line in the now obsolete mpl_tri.triplot was
exactly the same plot() command.
I'll take a look at improving the performance, but it won't for a few
days.
Ian
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