Hi Andrew,
On Mon, May 18, 2009 at 8:07 PM, Andrew Straw <straw...@astraw.com> wrote:
> I've been hacking away at adding support for "dropped spines" to MPL
> (e.g. http://jeb.biologists.org/cgi/content/full/211/3/341/FIG7 ) and
> have come to the conclusion that there is a fundamental issue in the
> code base that the traits package has solved -- many values that depend
> on other values with complicated stuff that happens when one of the
> parent values changes. For example, the location of the text from the
> xaxis depends on the padding value in addition to the xaxis location.
> Now I'm trying to add another element to the mix -- namely an axis spine
> that can change location -- and things are going to spiral into a
> (further) collection of special-cased updates unless there's some
> reworking of the infrastructure.
>
> So, the question is, should I attempt to use traits for this? I guess
> that I won't have the time to re-write the entire code base to use
> traits, but I'd like make a stab a stab at dropped spine support with
> the knowledge that, should I be successful, there's at least a chance we
> would again ship traits with MPL. I imagine we could incrementally move
> more and more to traits if I'm successful, particularly now that we have
> the beginnings of a unit test infrastructure (thanks James!).
>
A couple summers back I wrote the config subpackage for mpl, which is based
on Fernando's traited configobj package TConfig. It hasn't been used or
tested in a while, but the other devs had been pretty good about keeping it
up to date with changes to the regular rcparams. If there is any push to use
Traits in mpl, I would really like to see the config package ressurrected.
To use it, there is a global variable in matplotlib's __init__.py that needs
to be set to True.
Darren
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