From: Joe K. <jki...@ge...> - 2013-03-14 02:00:54
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Hi Phil, On Wed, Mar 13, 2013 at 5:14 AM, Phil Elson <pel...@gm...> wrote: > Joe, > > Do you have any feeling for performance of mpldatacursor? I'm interested > to know if implementing this functionality by default (with an rcParam > switch to disable) on all Axes would have a significant impact on > performance? > It should be quite fast. In most cases only one extra annotation object per-axes will be created. The annotation is updated, rather than a new one being created, unless that's specifically what's desired (e.g. The display='multiple' option). > > > > If it is something that other people find useful, I'd be happy to submit > a pull request to incorporate it into matplotlib. > > Personally, I find this kind of extension better as a completely separate > piece of work which one could "pip install" - it means you can be more > flexible with release cycles, especially in the early days of the code when > regular updates are most likely. Though I should note, I'm not against it > being included in mpl as an extension, if you would prefer that. > Good point! Especially in its current state, flexibility is a good thing! > > > Thanks again for sharing! > Thanks! Glad to! Cheers! -Joe On 13 March 2013 10:08, Phil Elson <pel...@gm...> wrote: > Thanks for this Joe, mpldatacursor looks like an excellent piece of work - > I for one will be installing and using it regularly. > > Thanks for sharing! > > > > > > On 13 March 2013 03:58, Joe Kington <jof...@gm...> wrote: > >> I recently got around to polishing up a snippet I've been using for quite >> awhile. https://github.com/joferkington/mpldatacursor/ and I was >> hoping to get some feeding on the current implementation. >> >> "mpldatacursor" allows a user to easily click on an artist and display a >> customizable, interactive pop-up box displaying information about the >> selected artist (e.g. x & y, label, z for images and collections, etc). >> It's a stand-alone module (and in pypi), but you could also just download >> the examples directory from github and copy the mpldatacursor.py file into >> it to try things out. >> >> A few key questions: >> >> 1. Is this something that anyone else finds useful? >> >> 2. Does it seem intuitive? >> >> 3. Does the implementation seem flexible enough for most needs? (Note >> that any additional kwargs are passed on to annotate to create the "data >> cursor", so the appearance of the box is customizable through annotation >> kwargs.) >> >> 4. Are there any obvious features missing? >> >> 5. Any suggestions? (especially better name suggestions...) >> >> If it is something that other people find useful, I'd be happy to submit >> a pull request to incorporate it into matplotlib. (If I did, it would >> probably be best to drop the HighlightDataCursor class, as its limited in >> what it can do.) >> >> Thanks a bunch! >> >> -Joe >> >> >> ------------------------------------------------------------------------------ >> 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-users mailing list >> Mat...@li... >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> > ------------------------------------------------------------------------------ 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 Mat...@li... https://lists.sourceforge.net/lists/listinfo/matplotlib-dev<https://lists.sourceforge.net/lists/listinfo/matplotlib-devel> |