|
From: Jason M. <moo...@gm...> - 2015-03-04 23:35:33
|
Actually the notation I have is valid SVG path data. Your script could be modified to handle the more general forms, see: http://www.w3.org/TR/SVG/paths.html#PathDataGeneralInformation But this still doesn't answer why the smoothness is different between the SVG and matploblib paths. I haven't been able to figure that out yet. Jason moorepants.info +01 530-601-9791 On Wed, Mar 4, 2015 at 2:32 PM, Jason Moore <moo...@gm...> wrote: > Thanks Nicolas for your code. > > The difference in what I have and what you share is in the svg path > specification. For some reason Inkscape outputs a single leading "c" for > the bezier curve in my path whereas your path has a "c" for every three > points. I'm not quite sure the difference, maybe Inkscape outputs a > non-standard form. > > > Jason > moorepants.info > +01 530-601-9791 > > On Wed, Mar 4, 2015 at 1:53 PM, Nicolas P. Rougier < > Nic...@in...> wrote: > >> >> Here is a (limited) SVG path parser I made some time ago: >> >> >> https://github.com/rougier/LinuxMag-HS-2014/blob/master/matplotlib/firefox.py >> >> >> The svg_parse function might just do what you're trying to achieve. >> >> >> Nicolas >> >> > On 04 Mar 2015, at 20:51, Jason Moore <moo...@gm...> wrote: >> > >> > Hi, >> > >> > I have some SVGs with closed Bezier curve paths that I'd like to >> convert to matplotlib paths. >> > >> > For example, here is some code: >> https://gist.github.com/moorepants/4cac02e798446bb46de7 >> > >> > The above script runs but the resulting path in matplotlib is less >> smooth that when opened in inkscape, for example. I've attached screenshots. >> > >> > I'm not sure why there is a difference. >> > >> > Any suggestions to get my matplotlib curves looking as smooth as they >> do in SVG format? >> > >> > Jason >> > moorepants.info >> > +01 530-601-9791 >> > >> <Selection_057.png><Selection_058.png>------------------------------------------------------------------------------ >> > Dive into the World of Parallel Programming The Go Parallel Website, >> sponsored >> > by Intel and developed in partnership with Slashdot Media, is your hub >> for all >> > things parallel software development, from weekly thought leadership >> blogs to >> > news, videos, case studies, tutorials and more. Take a look and join the >> > conversation now. >> http://goparallel.sourceforge.net/_______________________________________________ >> > Matplotlib-users mailing list >> > Mat...@li... >> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> > |