Bruce Ford wrote:
> I'm needing to keep two copies of a figure, with the properties
> different on one copy.
>
> However with logic like below, both copies remain the same regardless:
>
> #I want one copy with the defaul background and one to be transparent...
>
>     imgname = GenFilename(20)+".png"
>     imgsrc = "../dynamic/"+imgname
>     if kml == 1:
>         fig1 = fig
>         fig1.frameon = False
>         fig1.figurePatch.set_alpha(0.0)
>         imgname1 = imgname[:-4] + "-kml.png"
>         imgsrc1 = "../dynamic/"+imgname1
>         fig1.savefig(imgsrc1,dpi=100,transparent=True)
>     fig.savefig(imgsrc,dpi=100)
>
> So, it appears that fig1=fig doesn't make a copy, but rather links
> these figures.  Is there a way to make a true separate figure that
> will allow me to alter properties in the new copy without altering the
> original.
>
> Thanks!
>
> Bruce
> ---------------------------------------
> Bruce W. Ford
> Clear Science, Inc.
> br...@clearscienceinc.com
> http://www.ClearScienceInc.com
> Phone/Fax: 904-379-9704
> 8241 Parkridge Circle N.
> Jacksonville, FL  32211
> Skype:  bruce.w.ford
> Google Talk: for...@gmail.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
>   

Hello Bruce,

Have you tried the standard Python copy/deepcopy function?
My matplotlib knowledge is limited so there is probably a better 
approach, but that should work.

-- jv

------------------------------------------------------------------------------
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

Reply via email to