On Wed, Mar 13, 2013 at 3:22 PM, Jonathan Slavin <jsla...@cfa.harvard.edu>wrote:

> Nevermind on my earlier question on artists and using datacursor.  I
> figured that one out.  What I did was basically (after creating the
> image and contours):
>
> artist = gca().images
> datacursor(artist)
>
> and it worked!
>

Glad it worked! For what it's worth, you can also do:

im = imshow(yourdata)
datacursor(im)

It's a bit cleaner than getting the AxesImage through ax.images.

Cheers!
-Joe


> Jon
>
> On Wed, 2013-03-13 at 15:50 -0400, Jonathan Slavin wrote:
> > Joe,
> >
> > Thank you!  I will especially use it to get the z value in images.  I
> > started to try to do something like this once but never finished.
> >
> > One thing I'm having a bit of trouble with is providing an artist as an
> > argument.  The reason I wanted to do that is to look only at the values
> > for the image and not those for the contours drawn on the image.  How
> > does that work exactly?
> >
> > As a side note, I thought that I had found a bug because an I was
> > looking at image would, in some places, print only the x and y values
> > but not the z value.  Then I realized it was printing the values for a
> > contour that I had made invisible by setting its edgecolor to 'None'.
> > This was because the contour created had two parts and I only wanted to
> > show one of them.  Anyone know a different way to do that?
> >
> > Regards,
> > Jon
> >
> > On Tue, 2013-03-12 at 22:58 -0500, Joe Kington 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
> > >
> > >
> > >
> >
>
> --
> ______________________________________________________________
> Jonathan D. Slavin              Harvard-Smithsonian CfA
> jsla...@cfa.harvard.edu         60 Garden Street, MS 83
> phone: (617) 496-7981           Cambridge, MA 02138-1516
>  cell: (781) 363-0035           USA
> ______________________________________________________________
>
>
>
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