On Nov 27, 2013, at 18:38 , Joe Kington <joferking...@gmail.com> wrote:
> Hi Daniel,
>
> For what it's worth, the code runs perfectly for me as-is on matplotlib 1.3.1
> with python 2.7 on linux.
Same here for what its' worth:
OS X 10.9
python2.7 from Fink
matplotlib-py27 1.3.0-1 from Fink
-Dale
>
> However, based on your description, I'd guess that the second call to `twinx`
> is returning the same axes object.
>
> What happens when you do:
>
> print id(axes[1]), id(axes[2])
>
> Are the id numbers the same or different?
>
> If they're the same, there may have been a regression/change that causes
> `twinx` to return the same object instead of creating a new axes.
>
> Cheers!
> -Joe
>
>
>
> On Wed, Nov 27, 2013 at 5:08 PM, dodermat <dani.oderm...@gmail.com> wrote:
> Dear all
>
> What I want to accomplish was produced two years ago in a stackoverflow
> snippet by Joe Kington
> <http://stackoverflow.com/questions/7733693/matplotlib-overlay-plots-with-different-scales>
> , and shown in the first figure below. However, when I use his snippet in
> matplotlib 1.3.x, I get an output where the third axis replaces the second
> axis, and the blue dots are accordingly distributed in only the lower half
> of the plot (see second figure below). I considered downdating to an older
> version of matplotlib, but then I came across a remark in the matplotlib
> FAQ <http://matplotlib.org/faq/howto_faq.html#multiple-y-axis-scales> .
> According to this remark, such a feature for twinx is on the wish list and
> thus not very likely to be available in an older version.
>
> Can someone please explain the Kington magic to me?
>
>
> <http://matplotlib.1069221.n5.nabble.com/file/n42556/ksRXk.png>
> <http://matplotlib.1069221.n5.nabble.com/file/n42556/figure_1.png>
>
>
>
> --
> View this message in context:
> http://matplotlib.1069221.n5.nabble.com/Plotting-with-more-than-two-y-axes-with-twinx-tp42556.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
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