Thank you very much Eric !
It basically works for me but I think there is still a small bug
related to sharing y axes. I attach a small script that reproduce the
problem.
The end of the related error message is the following:
File "*/lib/python2.5/site-packages/matplotlib/axes.py", line 515, in
__init__
if sharex._adjustable == 'box':
AttributeError: 'NoneType' object has no attribute '_adjustable'
Hope it could help.
David
Eric Firing a écrit :
> David Trem wrote:
>> Hi,
>>
>> Eric, I will be happy to test your possible fix too. I have similar
>> problem with autoscaling shared axes like you Mark.
>>
>> David
>
> I have committed to svn some changes to support autoscaling with shared
> axes, so please test. I have done only very simple and cursory
> checking. You might try reversed axes, log axes, etc.
>
> I have not yet addressed the aspect ratio part of Mark's original post,
> below, but I think my changes have fixed the first of the two problems,
> in addition to adding autoscaling support, which I don't think we ever
> had before.
>
> At present, autoscaling does not work with shared axes if an aspect
> ratio is specified.
>
> Eric
>
>>
>> Mark Bakker a écrit :
>>> Thanks Eric.
>>>
>>> You know that this has been on my wish list for a long time.
>>>
>>> Let me know if I can test anything or help in any other way,
>>>
>>> Mark
>>>
>>> On Wed, Oct 22, 2008 at 10:54 AM, Eric Firing <[EMAIL PROTECTED]
>>> <mailto:[EMAIL PROTECTED]>> wrote:
>>>
>>> Mark Bakker wrote:
>>>
>>> Hello list (especially Erik, who can fix this I hope) -
>>>
>>> I have had problems with shared axes, especially when one of the
>>> axis has an aspect ratio that is set 'equal'. It has been
>>> discussed on the list before (mostly with Erik Firing), but it
>>> hasn't been fixed yet. What I want to do is have two plots. The
>>> top plot has an aspect ratio that is 'equal'. The idea is to
>>> have a contour plot in the top figure, while the bottom figure
>>> gives a cross-sectional picture of what I am plotting. This used
>>> to work well (quite some time ago), including zooming and such.
>>> But now I cannot plot it at all, let alone zoom.
>>>
>>> My first problem is when I add a subplot with a shared x-axis,
>>> it changes the limits on the original x-axis. That seems to be a
>>> bug:
>>> ax1 = subplot(211)
>>> plot([1,2,3]) # Now the limits of the x-axis go from 0 to 2.
>>> subplot(212,sharex=ax1) # Now the limits of both x-axis go from
>>> 0 to 1.
>>>
>>> After all, the new subplot shares the axis with the existing
>>> subplot, so why doesn't it copy the axis limits from that
>>> subplot?
>>>
>>>
>>> I may have the fix for this, but I need more time to check and
>>> refine it--and try to make sure that I don't break anything else in
>>> the process.
>>>
>>>
>>>
>>> But the bigger problem occurs when I want the aspect ratio of
>>> one of the first axis to be 'equal'.
>>>
>>> ax1 = subplot(211,aspect='equal')
>>> plot([1,2,3]) subplot(212,sharex=ax1)
>>>
>>> The second subplot is added, but the length of the graph is not
>>> the same as for the first subplot. It also resets the xlimits to
>>> go from 0 to 1, as before, which means the first subplot becomes
>>> unreadable (it still enforces 'equal' in the first subplot by
>>> changing the limits of the y-axis). When I now change the limits
>>> on the x-axis, the aspect ratio is not equal anymore
>>>
>>>
>>> I will see what I can do. There are definitely some bugs that need
>>> to be squashed.
>>>
>>> Eric
>>>
>>>
>>> ax1.set_xlim(0,2)
>>> draw()
>>>
>>> Thanks for your help. I am willing to help in testing any
>>> changes.
>>>
>>> Best regards, Mark
>>>
>>>
>>>
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import matplotlib
matplotlib.use('gtkagg')
import pylab as pl
if __name__ == "__main__":
axs1 = pl.subplot(111)
t = pl.arange(0.01, 200.0, 0.01)
s1 = pl.log(t)
pl.plot(t, s1, 'b-')
axs2 = pl.gcf().add_axes(axs1.get_position(),
sharey=axs1, frameon=False)
pl.plot([-20,30], [1,2], 'r-')
pl.show()
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