Hello,
This subject caught my eye. I'm also using WXAgg as a backend and I'm
plotting approximately 500 points. I am using markers. I'm not using
antialiasing or interactive mode. My operating system is windows XP. It
takes approximately 1-3 seconds to make a simple plot.
···
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Today's Topics:
1. performance problems (Donour Sizemore)
2. Re: performance problems (John Hunter)
3. Re: 0.83 iPython problem (John Hunter)
4. Trellis-style plots (John Pitney)
--__--__--
Message: 1
To: matplotlib-users@lists.sourceforge.net
From: Donour Sizemore <donour@...676...>
Date: Sun, 10 Jul 2005 00:58:26 -0500
Subject: [Matplotlib-users] performance problems
I'm having pretty serious performance problems using the wxpython
backend. On linux, it takes about 1-2 seconds to render a small
window with 1000 data points. On my mac laptop, it takes about three
times as long.
I've verified that interactive mode is off, antialiasing is disabled,
and the machine is otherwise idle. I'm using:
matplotlib 0.82
wxwindows 2.6.0.0
numeric 23.8
Profiling shows that all the time is being sucked into a couple
of axis drawing functions by way of OnPaint.
Any idea why it's so slow?
thanks
donour
Donour Sizemore donour@...677...|
Technical Programmer & Numerical Analyst |
Economics Research Center Ph: 773-834-4399 |
University of Chicago Office: Walker 303-a |
--__--__--
Message: 2
To: Donour Sizemore <donour@...676...>
Cc: matplotlib-users@lists.sourceforge.net
Subject: Re: [Matplotlib-users] performance problems
From: John Hunter <jdhunter@...4...>
Date: Sun, 10 Jul 2005 08:47:20 -0500
> I'm having pretty serious performance problems using the
> wxpython backend. On linux, it takes about 1-2 seconds to
> render a small window with 1000 data points. On my mac
> laptop, it takes about three times as long.
> I've verified that interactive mode is off, antialiasing
> is disabled, and the machine is otherwise idle. I'm using:
> matplotlib 0.82 wxwindows 2.6.0.0 numeric 23.8
> Profiling shows that all the time is being sucked into a
> couple of axis drawing functions by way of OnPaint.
> Any idea why it's so slow?
Can you post a complete script that is slow for you? If it is a
marker plot and you are using 'backend : WX', it is likely to be pretty
slow because of a problem with marker drawing that was fixed for the
*Agg backends.
Also, are you using wx or wxagg? The WXAgg backend is likely faster
and certainly will produce better output with more features.
After you come up with your test script, please run it with
--verbose-helpful and post the script and the output.
Thanks,
JDH
--__--__--
Message: 3
To: Ryan Krauss <ryanfedora@...614...>
Cc: matplotlib-users@lists.sourceforge.net
Subject: Re: [Matplotlib-users] 0.83 iPython problem
From: John Hunter <jdhunter@...4...>
Date: Sun, 10 Jul 2005 08:50:28 -0500
> I just updated to 0.83 and I am now having a problem with
> Ipython. Running the following code as a script produces
> the error message below. I am running Python 2.3.5 on
> Windows XP with Ipython 0.6.15. I get the same message
> regardless of whether or not I set ion().
> How do I fix this?
Update from matplotlib CVS -- this bug was reported on Friday in the
thread "ipython and matplotlib-0.83" and will be included in a bug-fix
release next week.
http://sourceforge.net/mailarchive/message.php?msg_id=12305161
JDH
--__--__--
Message: 4
Date: Sun, 10 Jul 2005 21:41:02 -0500
From: John Pitney <john@...678...>
To: matplotlib-users@lists.sourceforge.net
Subject: [Matplotlib-users] Trellis-style plots
Hi,
I'm a new user of matplotlib, and I'm trying to learn how to do some of
the things I'm accustomed to doing in the R environment with matplotlib
and numarray. I find R's Lattice implentation of Trellis graphics very
useful in my industrial data analysis work.
For those unfamiliar with Trellis, here's the user manual:
http://www.stat.purdue.edu/~wsc/papers/trellis.user.pdf
Does anyone have any experience with making conditioned plots or
scatterplot matrices with matplotlib? I'd like to try them out with
matplotlib and would appreciate seeing any code that's already out
there.
Thanks to the matplotlib developers for what looks like a great tool!
Best regards,
John
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