matplotlib-devel Mailing List for matplotlib

All,

I have committed a new set of colorbar code, mainly in its own file 
(colorbar.py), and renamed the originals to pylab.colorbar_classic and 
figure.colorbar_classic.  All examples using colorbars that I could test 
have been modified if necessary, so that they work with the new version.

For a quick introduction, try contour_demo, contourf_demo, and image_masked.

The kwargs for the new version are quite different from the old, so this 
will cause breakage.  There are several possible ways of dealing with 
this, including using rc to simply specify which version of the colorbar 
is used.  I would prefer to avoid adding compatibility stuff directly to 
the new colorbar.

I think that the new colorbar has enough advantages over the old one to 
justify complete replacement as a goal.

Eric

Michael,

I think this is fixed as part of a large set of changes that I just 
committed to svn.

Eric

MICHAEL P MOSSEY wrote:
> The following script demonstrates a problem in autoscaling. Not all the data
> ends up in the window, when using set_aspect( aspect='equal',
> adjustable='datalim' ). This is using the cvs version as of a few weeks ago.
> 
> Note: This uses a closed polygon as data. The type of shape which triggers the
> bug is an asymmetical one (not symmetrical in x or y axes that is). Data which
> is symmetrical in x and y axes does not trigger the bug.
> 
> If you have questions, please copy me on reply, as I get the digest.
> 
> 
> import pylab
> 
> fig = pylab.figure( figsize = [ 8, 5 ] )
> axes = fig.add_axes( [ 0.1, 0.1, 0.8, 0.8 ] )
> axes.set_aspect( aspect='equal', adjustable='datalim' )
> 
> xs = [5.4, -6.3, -9.3, 0.5, 9.6, 5.4 ]
> ys = [8.4, 7.7, -3.6, -9.9, -2.5, 8.4 ]
> 
> axes.plot( xs, ys )
> 
> pylab.savefig( 'figure.png' )
> 
> 
> 
> 
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