Hey John and the rest of the MPL gang:
I've made the changes you suggested, but the problem is looking to be
deeper than it seemed. I'm also moving this conversation to
matplotlib-devel, since that's probably the more appropriate place for
it.
This updated patch allows for the creation of colorma
pan/zoom appears to be broken in the sharex axis demo. If you do a
zoom to rect on ax2 or ax3 in
examples/pylab_examples/shared_axis_demo.py the event seems to be
swallowed, though a zoom in ax1 is respected.
I know Eric was recently working on autoscale support for sharex axes
r6315 | efiring
On Tue, Nov 25, 2008 at 12:16 PM, John Hunter <[EMAIL PROTECTED]> wrote:
> pan/zoom appears to be broken in the sharex axis demo. If you do a
> zoom to rect on ax2 or ax3 in
> examples/pylab_examples/shared_axis_demo.py the event seems to be
> swallowed, though a zoom in ax1 is respected.
The pro
On Tue, Nov 25, 2008 at 12:28 PM, John Hunter <[EMAIL PROTECTED]> wrote:
> On Tue, Nov 25, 2008 at 12:16 PM, John Hunter <[EMAIL PROTECTED]> wrote:
>> pan/zoom appears to be broken in the sharex axis demo. If you do a
>> zoom to rect on ax2 or ax3 in
>> examples/pylab_examples/shared_axis_demo.py
I'm so sorry Erik. I missed your last email.
I just submitted your patch with a slight modification.
As far as I know, matplotlib still supports python 2.4, and
Conditional Expressions are introduced in 2.5.
Regards,
-JJ
On Tue, Nov 11, 2008 at 9:22 PM, Erik Tollerud <[EMAIL PROTECTED]> wrote:
The change doesn't apply to the trunk. The shared axes logic is
completely different now. Whereas before there was a unidirectional
link from one axes to another, and a concept of "master" and "slave"
axes, the new version avoids that complication by using the "Grouper" class.
The bug fix was
On Tue, Nov 25, 2008 at 1:31 PM, Michael Droettboom <[EMAIL PROTECTED]> wrote:
> The trunk has effectively the same fix already in that additional code you
> point out. Its purpose is to make sure the zoom happens only once for each
> grouping. It could probably be done better, but it does work.
