I would look into the matplotlib (i.e. pylab) documentation, see
http://matplotlib.sourceforge.net/.  matplotlib is the plotting
backend used by sage.  It is a numeric python module.  maskedarrays
may help with excluding certain data.  You can also integrate
matplotlib with most gui python modules to create a custom app.

On Tue, Feb 22, 2011 at 5:13 PM, Jacob Hicks <jacob.m.hi...@gmail.com> wrote:
> I have written a Sage algorithm to compute the minimal canonical
> height of points for each map in a 1-parameter family of rational
> maps.  I have collected a little less than 12,000 such data points.
> Now I am trying to create visualizations of the data to identity
> patterns that could lead to conjectures to investigate.
>
> The data is in a form that lends itself to plotting in 2D with each
> point decorated by other information gleaned by the algorithm.  An
> ideal solution would allow me to highlight, exclude, or otherwise
> change points based on the decorations, pan and zoom around the
> points, access individual point data with a click, etc.  I have
> achieved much of this using hand coded python algorithms and point2d
> objects in Sage but this is painfully slow on my data set.
>
> Is there a more efficient tool for such purposes integrated into Sage?
>  Alternatively, is there another (open source) program that has some
> or all of these features?
>
> Thanks,
> --
> Jacob Hicks
>
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