On Tue, Mar 12, 2013 at 11:58 PM, Joe Kington <joferking...@gmail.com> 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: > > Is this something that anyone else finds useful?
Yes, I had tried out your previous snippet. I thought it would make a nice way to get the labels for an outlier plot, when there are too many points to add the labels to the plot. (statsmodels didn't have an outlier plot or calculations at the time.) Thanks for the snippets. Josef > > Does it seem intuitive? > > 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.) > > Are there any obvious features missing? > > 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 > Matplotlib-users@lists.sourceforge.net > 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-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
