These are fantastic slides. It would be great to include them in some form for a replacement for some parts of the docs that are getting a little long in the tooth.
I particularly like the reference section -- we have some of that in the main docs, but not enough. I think as Nelle Varaquoax and others are moving forward on the documentation reorganization, some of those figures, such as the marker style reference, would make fantastic additions. Mike On 03/25/2013 02:21 PM, Nicolas Rougier wrote: > > One idea I've been using is to show explicitly what's going on in the > background when you're using defaults by instantiating all the default > settings: > > http://www.loria.fr/~rougier/teaching/matplotlib/#using-defaults > > versus > > http://www.loria.fr/~rougier/teaching/matplotlib/#instantiating-defaults > > > Nicolas > > > On Mar 25, 2013, at 18:43 , Damon McDougall wrote: > >> On Mon, Mar 25, 2013 at 12:17 PM, Thomas A Caswell >> <tcasw...@uchicago.edu> wrote: >>> I think there is something to be said for not starting from pylab. >>> Answering questions on SO, a good chunk of them (by volume) can be >>> traced back to not understanding the magic that pylab is doing for you >>> in the background or not even knowing magic is being done for you. >>> Starting from pylab makes easy stuff trivial, but slightly more >>> complicated things a much bigger lift to figure out how to do (as >>> compared to the conceptual difference in how hard they are). >>> >>> A tutorial that starts from the POV of building the figure out of >>> parts sounds like a good idea to me. At a minimum, a key with the >>> different parts of the figure labeled with what family of classes >>> control them would be great (or if something like that already exists >>> make it easier to find;)) >>> >>> Tom >>> >>> On Mon, Mar 25, 2013 at 12:03 PM, Benjamin Root <ben.r...@ou.edu> wrote: >>>> On Mon, Mar 25, 2013 at 12:46 PM, Phil Elson <pelson....@gmail.com> wrote: >>>>>> I am putting together a beginners tutorial proposal that I will submit >>>>>> soon >>>>> That's great to hear! Are you planning on making the tutorial material >>>>> part of mpl's docs or using the content that is already out there? >>>>> >>>>> >>>> It is all new stuff, but I have been taking inspirations from other >>>> tutorials I have seen and said to myself "You are all teaching it wrong!" >>>> :-P >>>> >>>> I am ignoring pylab (risky, I know), starting with a *very* basic NumPy >>>> primer, and then moving on to teach matplotlib from the perspective of >>>> "here >>>> are what the parts of a plot are called and what they are for, and see what >>>> happens when we put those parts together". It is an ingredients approach, >>>> essentially. >>>> >>>> Hopefully, aspects of it will be useful for the docs when it is finished. >>>> I >>>> am also hoping that having a ipython notebook version of it will help >>>> others >>>> to improve it for future conferences (there should always be an intro to >>>> matplotlib tutorial at SciPy). >>>> >>>> Ben Root >> That seems like a good approach to me. Thanks for doing this. I just >> submitted a tutorial, but it assumes people know how to make a line >> plot already. Perhaps I should learn from this assumption and >> communicate better on this list and garner interest about what people >> would like to see a priori. >> >> Thanks for putting this together, Ben. Out of interest, are you >> diving straight into the pyplot state machine, or are you taking the >> more object oriented approach of setting up the canvas and figure >> object explicitly? I use the OO approach all the time, but I only use >> the non-interactive backends like Agg and PDF. >> >> On a not-too-orthogonal note, I'd personally like to see a tutorial on >> hooking in mpl into other GUI-like applications. Paraview seems to do >> this a little, but I'd like to see someone do a soup-to-nuts >> walkthrough for it, just because I have no experience doing this; I'm >> a terminal hermit. >> >> Best wishes, >> Damon >> >> -- >> Damon McDougall >> http://www.damon-is-a-geek.com >> Institute for Computational Engineering Sciences >> 201 E. 24th St. >> Stop C0200 >> The University of Texas at Austin >> Austin, TX 78712-1229 >> >> ------------------------------------------------------------------------------ >> Everyone hates slow websites. So do we. >> Make your web apps faster with AppDynamics >> Download AppDynamics Lite for free today: >> http://p.sf.net/sfu/appdyn_d2d_mar >> _______________________________________________ >> Matplotlib-devel mailing list >> Matplotlib-devel@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel > > ------------------------------------------------------------------------------ > Everyone hates slow websites. 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