thanks for the suggestion.  i'm running 0.98.3 and have tried

pdf.compression
path.simplify
agg.path.chunksize

without any change in filesize (176KB) or time to open file (13 sec).

are there any other options or backends that might help?

drs

On 3 Mar 2009, at 05:29, Michael Droettboom wrote:

> With recent versions of matplotlib, you can set the "path.simplify"  
> rcParam to True, which should reduce the data so that vertices that  
> have no impact on the plot appearance (at the given dpi) are removed.
>
> You can do either, in your script:
>
> from matplotlib import rcParam
> rcParam['path.simplify'] = True
>
> or in your matplotlibrc file:
>
> path.simplify: True
>
> Hope that helps.  The amount of reduction this produces is somewhat  
> data-dependent.
>
> Cheers,
> Mike
>
> Daniel Soto wrote:
>> hello,
>>
>> i'm using matplotlib on os x and am having issues with plots of  
>> large  data sets.  i have some plots which contain about ~10000  
>> points and  the pdf files generated bring preview.app and quicklook  
>> to their knees  when they open the pdf files.
>>
>> here is a small file that reproduces my issues.  at 1000 points it  
>> is  snappy and at 10000 it is a pig.
>>
>> is there a setting to downsample or otherwise compress?
>>
>> best,
>> drs
>>
>>
>>
>> import matplotlib.pyplot
>> import scipy
>>
>> x = scipy.rand(10000)
>> matplotlib.pyplot.plot(x)
>> matplotlib.pyplot.savefig('rand.pdf')
>>
>> ------------------------------------------------------------------------------
>> Open Source Business Conference (OSBC), March 24-25, 2009, San  
>> Francisco, CA
>> -OSBC tackles the biggest issue in open source: Open Sourcing the  
>> Enterprise
>> -Strategies to boost innovation and cut costs with open source  
>> participation
>> -Receive a $600 discount off the registration fee with the source  
>> code: SFAD
>> http://p.sf.net/sfu/XcvMzF8H
>> _______________________________________________
>> Matplotlib-users mailing list
>> Matplotlib-users@lists.sourceforge.net
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>
> -- 
> Michael Droettboom
> Science Software Branch
> Operations and Engineering Division
> Space Telescope Science Institute
> Operated by AURA for NASA
>


------------------------------------------------------------------------------
Open Source Business Conference (OSBC), March 24-25, 2009, San Francisco, CA
-OSBC tackles the biggest issue in open source: Open Sourcing the Enterprise
-Strategies to boost innovation and cut costs with open source participation
-Receive a $600 discount off the registration fee with the source code: SFAD
http://p.sf.net/sfu/XcvMzF8H
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Reply via email to