Simplify complex graph from matplotlib

[Murat Yildizoglu]

You can make them as dense as you want and then resize on the page in Lyx, then they will have a very good printing quality. 
When I have too many points some PS printers cannot even print them because they need too much memory. This is why I have chosen this method. 

--

Prof. Murat Yildizoglu
Advisor to the Minister of Education, Youth and Sports of Cambodia
Expertise France

On leave from:
UNIVERSITE DE BORDEAUX
GREThA (UMR CNRS 5113)

web: www.yildizoglu.fr

> Le 2 oct. 2020 à 20:18, Neal Becker <ndbecker2 at gmail.com> a écrit :
> 
> True, bitmap formats may take less memory, but I don't usually want them for publication quality documents.
> For now I just re-ran the matplotlib plots decimating the points.
> 
> On Thu, Oct 1, 2020 at 8:40 PM Murat Yildizoglu <myildi at gmail.com> wrote:
>> Hello Neal, I flatten such graphics by converting them to PNG. They take less memory as such. 
>> 
>> --
>> 
>> Prof. Murat Yildizoglu
>> Advisor to the Minister of Education, Youth and Sports of Cambodia
>> Expertise France
>> 
>> On leave from:
>> UNIVERSITE DE BORDEAUX
>> GREThA (UMR CNRS 5113)
>> 
>> web: www.yildizoglu.fr
>> 
>>> Le 2 oct. 2020 à 02:46, Neal Becker <ndbecker2 at gmail.com> a écrit :
>>> 
>>> Don't know if this is more appropriate for lyx or mpl.  I have a couple of graphs with a large number of points.  They were exported from matplotlib as pdf, and produced large files.  After including in lyx, the resulting pdf takes a long time to load.
>>> 
>>> The plots don't really need so many points at all.  Other than going back to the mpl source to plot fewer points, is there a way to fix this?
>>> 
>>> Thanks,
>>> Neal
>>> 
>>> -- 
>>> Those who don't understand recursion are doomed to repeat it
>>> -- 
>>> lyx-users mailing list
>>> lyx-users at lists.lyx.org
>>> http://lists.lyx.org/mailman/listinfo/lyx-users
> 
> 
> -- 
> Those who don't understand recursion are doomed to repeat it
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.lyx.org/pipermail/lyx-users/attachments/20201003/1f000ff3/attachment.html>