Hi Fabrice,
Good to hear that you were able to get it work.
Here is some tweak on transforms.
This way, the plot is shown correctly even if you change the y-limits of axes.
trans0 = blended_transform_factory(ax0.transData, ax0.transAxes)
trans1 = blended_transform_factory(ax1.transData, ax1.transAxes)
bbox = Bbox.from_extents(xmin, 0, xmax, 1)
mybbox1 = TransformedBbox(bbox, trans0)
mybbox2 = TransformedBbox(bbox, trans1)
I think the code is worth to be included as an mpl example.
I'll push this into the svn if you don't mind.
Regards,
-JJ
On Tue, Jun 30, 2009 at 8:12 AM, Fabrice Silva<si...@lma.cnrs-mrs.fr> wrote:
> Le lundi 29 juin 2009 à 16:11 -0400, Jae-Joon Lee a écrit :
>> I think the issue here is to connect points in two different axes,
>> which is possible but can be a bit difficult.
> That was my problem
>
>> In the svn version of matplotlib, there are some helper classes to
>> ease this job a bit.
> Thanks for your pointer. Sadly the mpl.toolkits.axes_grid is not shipped
> by debian package, and downloading it requires other stuff. So I adapted
> from the inset_locator.py the attached file.
>
> Finally I can "zoom" with the mere script :
> import matplotlib.pyplot as plt
> from mpl_axes_grid_inset_locator import zoom_effect
> S1 = plt.subplot(211)
> S1.plot(... # xlim (0.,1.2)
> S2 = plt.subplot(223)
> S2.plot(... # xlim (0.0095,.012)
> S3 = plt.subplot(224)
> S3.plot(... # xlim (0.84,1.)
> # Labels stuff
> # [...]
>
> patch_props=dict(ec="r", alpha=0.5, fc="r")
> zoom_effect(S1,S2, 0.01, 0.011, **patch_props)
> zoom_effect(S1,S3, 0.90, 0.95, **patch_props)
>
> It produces two zoom subplots with the wanted patch.
>
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