On 2012/07/09 7:33 AM, Brendan Barnwell wrote:
> On 2012-07-09 06:13, Benjamin Root wrote:
>> On Sun, Jul 8, 2012 at 9:04 PM, Brendan Barnwell<brenb...@brenbarn.net>wrote:
>>> cs = pyplot.contourf(x,y,z,levels=np.arange(50, 220, 20),
>>> cmap=pyplot.cm.jet, extend='both')
>>> cs.cmap.set_under('k')
>>> cs.set_clim(50, 210)
>>> cb = pyplot.colorbar(cs)
>>>
>>> But why do I have to do this? The whole reason I passed in my
>>> specified levels was because I wanted THOSE to be the data limits.
>>> Why is matplotlib expanding the data limits, and thus preventing me
>>> from specifying the "out of range" color using the normal set_under
>>> and set_over methods?
>>>
>>>
>> You are right, that behavior is very inconsistent with the documentation.
>> Looking over the QuadContourSet._process_levels() method, I doubt the
>> problem lies there. While testing, I noticed that whatever color I set for
>> set_under() was always being ignored in the colorbar. I suspect the
>> problem lies there.
>
> You mean in the colorbar and/or set_under? I don't think so, because
> the problem occurs whether or not you use a colorbar, and, at least
> for me, set_under works as long as the data limits are set correctly.
> If in my code above, I change set_under("k") to set_under("yellow")
> or whatever else I like, that color is correctly used both in the
> contourf plot and on the colorbar (on the lower arrow). The code that
> I pointed to in _process_levels is setting vmin and vmax. It's
> possible this isn't the root of the problem, but the code certainly
> looks strange and unmotivated, and it is what's causing incorrect clim
> to be set.
>
Please check out https://github.com/matplotlib/matplotlib/pull/1022.
Eric
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