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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