Re: [Matplotlib-users] best way to browse images

2014-10-14 Thread Chris Beaumont
your mobile device. >>>>>> http://p.sf.net/sfu/Zoho >>>>>> ___ >>>>>> Matplotlib-users mailing list >>>>>> Matplotlib-users@lists.sourceforge.net >>>>>> https://lists.sourceforge.net/li

Re: [Matplotlib-users] third-party mpl widgets/tools?

2014-10-05 Thread Chris Beaumont
__ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > -- * Chris Beaumont Senior Software Engineer Harvard Cente

Re: [Matplotlib-users] 'save file' GUI dialog

2014-06-20 Thread Chris Beaumont
gt; Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > -- > **

Re: [Matplotlib-users] plotting large images

2013-08-27 Thread Chris Beaumont
I've been burned by this before as well. MPL stores some intermediate data products (for example, scaled RGB copies) at full resolution, even though the final rendered image is downsampled depending on screen resolution. I've used some hacky tricks to get around this, which mostly involve downsamp

Re: [Matplotlib-users] Intersecting polygons

2013-08-23 Thread Chris Beaumont
Thanks for the tips -- I wish there was a way to do this within MPL, but it sounds like I'll have to live with external hackery. > > > PS. Try to convince the Dark Powers of the journal you send your work, > > that they modernize their processing and accept PDF. > +1 I know, right? chris --

Re: [Matplotlib-users] Intersecting polygons

2013-08-22 Thread Chris Beaumont
? Thanks, chris On Thu, Aug 22, 2013 at 8:04 PM, Jerzy Karczmarczuk < jerzy.karczmarc...@unicaen.fr> wrote: > Chris Beaumont : > > > > I have a semitransparent plot that I rather like: > ... > > I'd like to publish something like this in a journal which requ

[Matplotlib-users] Intersecting polygons

2013-08-22 Thread Chris Beaumont
Hi, I have a semitransparent plot that I rather like: [image: Inline image 1] I'd like to publish something like this in a journal which requires EPS figures. Unfortunately, EPS doesn't support transparency. How hard would it be to coax matplotlib (or another tool) to convert this semi-transpare