Sorry -- Ignore my last comment. I see the Scipy version already has the covered -- it's just in a different place. No problem.
Cheers, Mike Michael Droettboom wrote: > Pauli Virtanen wrote: > >> Mon, 16 Feb 2009 13:26:40 -0500, Michael Droettboom wrote: >> [clip] >> >> >>> Anyway, the current version in matplotlib handles files in a way that >>> behaves well with Sphinx (which I see is a TODO list item in the numpy >>> version). It also uses the Sphinx extension API rather than the old and >>> brittle way of defining directives etc. So those things will need to be >>> merged with the other changes made on the Numpy side. >>> >>> >> Ok, I'll try to get these merged now, starting from the Scipy >> version. >> >> What was new: >> >> * Detect doctest format automatically. >> * Matplotlib rcparameters settable in conf.py >> * :include-source: also as conf.py option >> * Preamble code in conf.py, to run in every plot >> * Used Sphinx API to register the directive. >> * Slightly modified template for the inserted RST, to make multiple >> output figures floatable side-by-side in HTML. >> >> So I think what needs to be merged is the output file handling, >> and to check that the output is similar as previously for the matplotlib >> docs. >> >> > Those all look like great features to have. > > Thanks for volunteering to do the merge. > > I would also add that it should be ported to the Sphinx extension API > (basically the stuff in the last section in the file). It's a lot > easier now, and should be more stable between docutils/Sphinx versions: > > http://sphinx.pocoo.org/ext/appapi.html > > Cheers, > Mike > > -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA ------------------------------------------------------------------------------ Open Source Business Conference (OSBC), March 24-25, 2009, San Francisco, CA -OSBC tackles the biggest issue in open source: Open Sourcing the Enterprise -Strategies to boost innovation and cut costs with open source participation -Receive a $600 discount off the registration fee with the source code: SFAD http://p.sf.net/sfu/XcvMzF8H _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
