It would be great to include this in matplotlib. However, I think it's not unreasonable to expect that these things would evolve faster than the release cycle of matplotlib. Perhaps a user is stuck on an older version of matplotlib because they want to use pre-built packages etc., or whatever reason. It might be better to provide this in a form that is easily updatable without updating the rest of matplotlib. Of course, small problems may arise if they use rcParams available not available in the user's version of matplotlib. (For the most part, I think the risk of that is quite small, as the rcParams that are most useful here have been stable for a long time.)
We could use the existing "cbook.get_sample_data", which grabs files from the matplotlib git repo, for this. It would also be nice to generate a gallery of these settings and make it available online, linked from the documentation (again, maybe not *part* of the documentation, because it should update more frequently). Cheers, Mike On 04/15/2011 10:48 AM, alex arsenovic wrote: > this seems like the right way to do it. maybe it can be included in the > matplotlib package? > > alex > > > On Fri, 2011-04-15 at 15:54 +0200, Adrian Hill wrote: > >> I have previously used some script from Mike DePalatis for making APS >> (PRL, PRB, etc.) suitable plots. Maybe it will be a useful starting >> point. >> >> http://mike.depalatis.net/docs/mpllatex.html >> >> >> """ >> mplparams.py >> >> M.V. DePalatis, 2010-09-01 >> Licensed under the GNU GPL v3 >> >> matplotlib rc params and axes rects to generate figures of appropriate >> size for different types of publication. >> """ >> >> # documentclass 'article' with package 'fullpage' >> fullpage = {'params': {'axes.labelsize': 10, >> 'text.fontsize': 10, >> 'legend.fontsize': 10, >> 'xtick.labelsize': 8, >> 'ytick.labelsize': 8, >> 'text.usetex': False, >> 'font.family': 'serif', >> 'figure.figsize': (4.774, 2.950)}, >> 'axes': [0.150,0.175,0.95-0.15,0.95-0.25]} >> >> # two-column APS journal format >> aps = {'params': {'axes.labelsize': 10, >> 'text.fontsize': 10, >> 'legend.fontsize': 10, >> 'xtick.labelsize': 8, >> 'ytick.labelsize': 8, >> 'text.usetex': False, >> 'figure.figsize': (3.4039, 2.1037)}, >> 'axes': [0.125,0.2,0.95-0.125,0.95-0.2]} >> >> >> >> On 15/04/2011 14:36, Auré Gourrier wrote: >> >>> Good Idea ! >>> I'm also using mpl for other publications than ieee and it sounds >>> like a small mplrc data base with targeted journal specifications >>> would be worthwhile doing ! I would be ready to contribute. >>> Cheers, >>> Auré >>> >>> >>> >>> ____________________________________________________________________ >>> De : alex arsenovic<ai...@virginia.edu> >>> À : matplotlib-users@lists.sourceforge.net >>> Envoyé le : Ven 15 avril 2011, 14h 06min 39s >>> Objet : [Matplotlib-users] matplotlibrc for [ieee] publications >>> >>> i was wondering if anyone had considered making a matplotlibrc which >>> generates plots suitable for ieee publications (specifically ieee >>> transactions)? >>> >>> or any other publications for that matter. like a set of matching >>> matplotlibrc's to journals (or some other way to achieve a similar >>> functionality) >>> >>> if not, i think it would be a valuable thing to make, because it >>> wouldnt >>> be very hard, and would save a lot of users time/effort. >>> specifically it >>> would specify the dimension/dpi/font type/sizes/etc. i have a >>> preliminary one for ieee we can use as a starting point, that can be >>> improved. >>> >>> >>> thanks >>> alex >>> >>> >>> >>> ------------------------------------------------------------------------------ >>> Benefiting from Server Virtualization: Beyond Initial Workload >>> Consolidation -- Increasing the use of server virtualization is a >>> top >>> priority.Virtualization can reduce costs, simplify management, and >>> improve >>> application availability and disaster protection. Learn more about >>> boosting >>> the value of server virtualization. >>> http://p.sf.net/sfu/vmware-sfdev2dev >>> _______________________________________________ >>> Matplotlib-users mailing list >>> Matplotlib-users@lists.sourceforge.net >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >>> >>> >>> ------------------------------------------------------------------------------ >>> Benefiting from Server Virtualization: Beyond Initial Workload >>> Consolidation -- Increasing the use of server virtualization is a top >>> priority.Virtualization can reduce costs, simplify management, and improve >>> application availability and disaster protection. Learn more about boosting >>> the value of server virtualization. http://p.sf.net/sfu/vmware-sfdev2dev >>> >>> _______________________________________________ >>> Matplotlib-users mailing list >>> Matplotlib-users@lists.sourceforge.net >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >>> >> ------------------------------------------------------------------------------ >> Benefiting from Server Virtualization: Beyond Initial Workload >> Consolidation -- Increasing the use of server virtualization is a top >> priority.Virtualization can reduce costs, simplify management, and improve >> application availability and disaster protection. Learn more about boosting >> the value of server virtualization. http://p.sf.net/sfu/vmware-sfdev2dev >> _______________________________________________ Matplotlib-users mailing >> list Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> > > > ------------------------------------------------------------------------------ > Benefiting from Server Virtualization: Beyond Initial Workload > Consolidation -- Increasing the use of server virtualization is a top > priority.Virtualization can reduce costs, simplify management, and improve > application availability and disaster protection. Learn more about boosting > the value of server virtualization. http://p.sf.net/sfu/vmware-sfdev2dev > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > -- Michael Droettboom Science Software Branch Space Telescope Science Institute Baltimore, Maryland, USA ------------------------------------------------------------------------------ Benefiting from Server Virtualization: Beyond Initial Workload Consolidation -- Increasing the use of server virtualization is a top priority.Virtualization can reduce costs, simplify management, and improve application availability and disaster protection. Learn more about boosting the value of server virtualization. http://p.sf.net/sfu/vmware-sfdev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
