On Thu, Mar 18, 2010 at 6:21 PM, Andrew Hawryluk <hawr...@novachem.com>wrote:
> I've observed a significant difference in the time required by different
> plotting functions. With a plot of 5000 random data points (all
> positive, non-zero), plt.semilogx takes 3.5 times as long as plt.plot.
> (Data for the case of saving to PDF, ratio changes to about 3.1 for PNG
> on my machine.)
>
> I used cProfile (script attached) and found several significant
> differences between the profiles of each plotting command. On my first
> analysis, it appears that most of the difference is due to increased use
> of mathtext in semilogx:
>
> ==================================
> Plotting command
> ==================================================================
> cumtime (s) plot semilogx semilogy loglog
> ==================================================================
> total running time 0.618 2.192 0.953 1.362
> axis.py:181(draw) 0.118 1.500 0.412 0.569
> text.py:504(draw) 0.056 1.353 0.290 0.287
> mathtext.py:2765(__init__) 0.000 1.018 0.104 0.103
> mathtext.py:2772(parse) --- 1.294 0.143 0.254
> pyparsing.py:1018(parseString) --- 0.215 0.216 0.221
> pyparsing.py:3129(oneOf) --- 0.991 --- ---
> pyparsing.py:3147(<lambda>) --- 0.358 --- ---
> lines.py:918(_draw_solid) 0.243 0.358 0.234 0.352
> =================================================================
>
> It seems that semilogx could be made as fast as semilogy since they have
> to do the same amount of work, but I'm not sure where the differences
> lie. Can anyone suggest where I should look first?
>
> Much thanks,
>
> Andrew Hawryluk
>
> matplotlib.__version__ = '0.99.1'
> Windows XP Professional
> Version 2002, Service Pack 3
> Intel Pentium 4 CPU 3.00 GHz, 2.99 GHz, 0.99 GB of RAM
>
>
>
Hello,
How did you get the cumtime listing? The output of the run doesn't produce a
cumulative sum table as you showed here.
================================================================================
Platform :
Linux-2.6.31.9-174.fc12.i686.PAE-i686-with-fedora-12-Constantine
Python : ('CPython', 'tags/r262', '71600')
NumPy : 1.5.0.dev8038
Matplotlib : 1.0.svn
================================================================================
--
Gökhan
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