My simple way to solve the white-lines issue is simply to give the contourf
command twice:
contourf(x,y,z)
contourf(x,y,z)
The white lines are magically disappearing, also in png files.
This works well also with alpha<1
Tsviki Hirsh
> What version of mpl are you using?
My mpl version is 0.99.1
> Are you modifying the default anti-aliasing in the patch collections that
> contour is creating?
Could you please tell me how to this? I am very new to matplotlib, thank you
very much if you can give me some advices.
>Are you seeing the problem when using the ps and pdf backends, or only with
agg (that is, creating png files directly)?
So far I only creating png files directly. Also, how to use ps and pdf
backend?
> ....which has been fixed in svn.
Do you mean I should download another mpl by svn?
Thank you for your answers very much!
efiring wrote:
>
> What version of mpl are you using? Are you modifying the default
> anti-aliasing in the patch collections that contour is creating? Are you
> seeing the problem when using the ps and pdf backends, or only with agg
> (that is, creating png files directly)?
>
> There are two problems that can contribute to this, one related to the
> way the agg backend handles the boundaries between filled regions, and
> the other a bug in path simplification, which has been fixed in svn.
>
> Eric
>
>
>
------------------------------------------------------------------------------
> Download Intel® Parallel Studio Eval
> Try the new software tools for yourself. Speed compiling, find bugs
> proactively, and fine-tune applications for parallel performance.
> See why Intel Parallel Studio got high marks during beta.
> http://p.sf.net/sfu/intel-sw-dev
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
--
View this message in context:
http://old.nabble.com/contourf-creats-white-like-lines-%28or-gaps%29-between-each-two-color-patches-tp27982822p28210898.html
Sent from the matplotlib - users mailing list archive at Nabble.com.
------------------------------------------------------------------------------
Download Intel® Parallel Studio Eval
Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
See why Intel Parallel Studio got high marks during beta.
http://p.sf.net/sfu/intel-sw-dev
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
