offset_copy is still available, but unfortunately doesn't work with the
cookbook example because of a bug that was inadvertently introduced into
matplotlib.
The bug is that offset_copy should have been defined as:
def offset_copy(trans, fig=None, x=0.0, y=0.0, units='inches'):
instead of:
def offset_copy(trans, fig, x=0.0, y=0.0, units='inches'):
That is, the "fig" argument was originally optional, and in July 2008 I
accidentally was made it "required".
This will be fixed in the next release of matplotlib -- in the meantime
the workaround to get the Cookbook recipe to work is to call offset_copy
like this:
return offset_copy(ax.transData, None, x=x, y=y, units='dots')
If that change doesn't fix the recipe for you, please send a full
traceback of the error so we can diagnose the problem. (FWIW -- I don't
have edit privileges for the cookbook page, or I would go in and fix
this...)
Cheers,
Mike
mikey wrote:
> Hi there,
>
> Just wondering if anyone knows how to do a pixel offset in matplotlib?
>
> I've tried running the example in
> http://www.scipy.org/Cookbook/Matplotlib/Transformations#line-58 but
> it appears to have been trashed by changes to the api. The functions
> in the no-offset_copy function version don't exist any more and their
> replacements don't work the same way, and the offset_copy function is
> not available. (At least I am assuming it is because of updates rather
> then my copy of Matplotlib being out of date: 0.99.1.1) This is a very
> useful function if you're doing discrete data plots like I am and you
> want uniform clusters of points.
>
> Thanks for your time.
>
> Regards,
>
>
> Mikey
>
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--
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA
------------------------------------------------------------------------------
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Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
See why Intel Parallel Studio got high marks during beta.
http://p.sf.net/sfu/intel-sw-dev
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