Hi Erick, Is there any particular reason to introduce _xaxison and _yaxison, instead of using set_visible(False) on the xaxis and yaxis? Just wondering..
-JJ On Sat, Feb 28, 2009 at 1:52 PM, Eric Firing <efir...@hawaii.edu> wrote: > Christoffer Aberg wrote: >> Hi all, >> >> I have noticed a funny behaviour when using twinx to do two plots on the >> same axes: the xticklabels are printed twice, once for each axes. This >> shows up as slightly thicker labels than for a single axes. It is >> particularly visible for ps or pdf output, but can be seen also in an >> interactive session. >> >> I can also see this in the figure shown for the two_scales.py example >> (http://matplotlib.sourceforge.net/_images/two_scales.png), where the >> xticklabels are thicker than the yticklabels (though it is not so >> apparent due to different colours. I therefore assume it is not just my >> installation. (Adding >> >> for tl in ax2.get_xticklabels(): >> tl.set_fontsize(16) >> >> just before the last plt.show() in two_scales.py makes it even more >> visible) >> >> Does anyone know of a reasonable work-around? Surely it is not the >> intended behaviour? > > It is now fixed in svn. > > Eric > > ------------------------------------------------------------------------------ > Open Source Business Conference (OSBC), March 24-25, 2009, San Francisco, CA > -OSBC tackles the biggest issue in open source: Open Sourcing the Enterprise > -Strategies to boost innovation and cut costs with open source participation > -Receive a $600 discount off the registration fee with the source code: SFAD > http://p.sf.net/sfu/XcvMzF8H > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ Open Source Business Conference (OSBC), March 24-25, 2009, San Francisco, CA -OSBC tackles the biggest issue in open source: Open Sourcing the Enterprise -Strategies to boost innovation and cut costs with open source participation -Receive a $600 discount off the registration fee with the source code: SFAD http://p.sf.net/sfu/XcvMzF8H _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
