What is the advantage of JSON (is this specific case) over Python source code? matplotlib is designed around it and it's more flexible. Unless you're planning on automatically manipulating the JSON, I don't see why you wouldn't just use Python source.
Mike Rich Krauter wrote: > Hello, > > I am a relatively new user of matplotlib; thank you to the matplotlib > team for this excellent package. > > I have a question about serializing matplotlib figures. I have > searched for serialization options for matplotlib figures but have not > found much information. I am interested to hear about serialization > use cases and the approaches others use in these cases. > > Here is the reason I am asking: > > My use case for serialization is that I want to build a CouchDB > database of matplotlib figures. The database could be accessed from a > web application (in my case I want to build a django app to create, > edit and manage figures) or desktop gui, or whatever. For storage of > the figures in CouchDB, I am working on JSON representations of > matplotlib figures. The JSON could be run through simple python > functions to regenerate the matplotlib figures. I have very simple > working examples, but to more completely test out this approach I > would attempt to recreate the plots in the matplotlib gallery using > JSON representations and a small set of (hopefully) very simple python > functions which would process the JSON markup. > > Before I get too far, I wanted to see what others have done for > similar use cases, make sure I am not missing existing approaches, > etc. I am getting ahead of myself now, but if there is broader > interest in this approach, and no other better solutions exist, I > would set up a project on Google Code or some other site to work on > this. > > Your feedback is very much appreciated. > > Thanks! > > Rich > > > > ------------------------------------------------------------------------ > > ------------------------------------------------------------------------------ > 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 > -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA ------------------------------------------------------------------------------ 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
