Hi,

On Sun, 2008-07-20 at 08:09 -1000, Eric Firing wrote:
> It sounds like there is time to do it before the release without messing 
> up the release.  Just make sure the backend_drivers.py test suite still 
> runs OK.  If you can add tests (i.e., examples run by backend_drivers) 
> that exercise the new functionality, that is even better.  The 
> interactive part of the functionality can't be tested in an automated 
> way, but the rest can, and adding an example is a good way to help users 
> see how to use it.  In any case, go ahead and commit when ready.
> 

I have recommitted my changes to contour.py plus modifications to fix
the problems you identified (r5799).  I also included a couple of new
pylab_examples that test the new interactive (ginput, etc.) and
non-interactive (e.g., using a dictionary to specify label format)
elements.  The non-interactive pylab_example (contour_label_demo) has
been integrated into backend_driver.py.  This should hopefully help save
me from myself.

> Yes, the labeling code is difficult, and I have not looked at it in a 
> long time.  If you are interested, please do look at it from the 
> standpoint of a possible major revision that might make it easier to 
> understand and easier to enhance.
> 

For the moment, I have tried to add a few comments here and there that
explain my understanding of things and identify some problems.  One
thing that should probably be fixed immediately is that the attribute
names in ContourLabeler don't meet the standards in the coding guide
(e.g., label_levels instead of clabelLevels) and are hard to understand
(e.g., cl could be contourLevels instead of clabelLevels).  I would like
to fix these, but this may break user's code that depends, e.g., on
CS.cl having that name.  How much should I worry about this?  There are
likely few users that directly modify ContourSet properties, but you
never know.  I think changing these names and adding a few comments
would at least pave the way for future improvements.

I also have a couple of general questions for the group:

1) ginput currently returns a list of tuples instead of a two-column
array of x,y coordinates.  I think a numpy array is more intuitive and
saves the user having to cast to array.  Is there any reason why ginput
should not return a numpy array instead of a list of tuples?

2) Can someone explain to me why is_string_like in the cbook doesn't
just do isinstance(obj,str)?  Is there anything "string like" that won't
be caught be this isinstance call?

Cheers,
David

-- 
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David M. Kaplan
Charge de Recherche 1
Institut de Recherche pour le Developpement
Centre de Recherche Halieutique Mediterraneenne et Tropicale
av. Jean Monnet
B.P. 171
34203 Sete cedex
France

Phone: +33 (0)4 99 57 32 27
Fax: +33 (0)4 99 57 32 95
http://www.ur097.ird.fr/team/dkaplan/index.html
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