Works like a charm. :-)
Thank you so much, Damon.
Jianbao
On Fri, Oct 5, 2012 at 10:53 AM, Damon McDougall
<damon.mcdoug...@gmail.com>wrote:
> On Fri, Oct 5, 2012 at 5:44 PM, Jianbao Tao <jianbao....@gmail.com> wrote:
> > Hi,
> >
> > I am working on a time-series data browser based on matplotlib. In
> general,
> > it shows a N_row x 1_col stack of axes, which share the x axis, the time
> > axis. It is nice that matplotlib offers the sharex option so that the
> data
> > can be zoomed simultaneously in time. However, one problem with the
> sharex
> > option is that it not only shares the axis range (or limits, if you
> will),
> > but also the axis appearance, which is not always desirable. In my case,
> I
> > want the tick labels to be shown only on the bottom subplot. However,
> that
> > doesn't seem to be achievable with sharex.
> >
> > The follow snippet demonstrates my example:
> > #------------------------- code
> --------------------------------------------
> > import matplotlib.pyplot as plt
> > fig = plt.figure()
> > ax1 = fig.add_subplot(211)
> > ax2 = fig.add_subplot(212, sharex=ax1)
> >
> > ax1.get_xaxis().set_ticklabels([]) # This also suppresses x tick labels
> of
> > ax2.
> > fig.canvas.draw()
> > #-------------------------- end of code
> ------------------------------------
> >
> > Is there a workaround, hopefully simple and straightforward, to share
> range
> > (or limits) only among axes? Better yet, can this feature be added, like
> a
> > keyword sharexrange, in the future, if it is not already there? Of
> course,
> > the situation should be similar for y axis, too.
> >
> > Thank you very much.
> >
> > Jianbao
>
> This was the first hit in a google search:
>
> http://stackoverflow.com/questions/4209467/matplotlib-share-x-axis-but-dont-show-x-axis-tick-labels-for-both-just-one
>
> --
> Damon McDougall
> http://www.damon-is-a-geek.com
> B2.39
> Mathematics Institute
> University of Warwick
> Coventry
> West Midlands
> CV4 7AL
> United Kingdom
>
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