http://matplotlib.sourceforge.net/search.html?q=set_label_position&check_keywords=yes&area=default
ax2.xaxis.set_label_position("top")
ax2.yaxis.set_label_position("right")
Regards,
-JJ
On Thu, Aug 13, 2009 at 12:10 AM, Duncan Mortimer<dmo...@gmail.com> wrote:
> Hi all,
>
> I'm trying to produce a graph in which two different sets of axes are
> superimposed, with both x- and y- ticks taking on different ranges.
>
> I've managed to get the first set of axes to place its ticks on the
> bottom and left of the figure, and the second set to place its ticks
> on the top and right, however, xlabel and ylabel behave in an
> unexpected manner: for the bottom-left axes, xlabel and ylabel place
> text in the correct location, however, for the "top-right" axes,
> xlabel and ylabel misbehave, placing the axis label text at the bottom
> (for xlabel) and the left (for ylabel), but positioned closer to the
> axis lines.
>
> This seems to be due to some sort of bug with the "alignment" keyword
> for xlabel and ylabel: i.e. alignment = "top" or alignment = "right"
> does not behave as I would have expected.
>
> I'm sorry if this has been reported before; I wasn't able to find
> anything useful in the archives or elsewhere on the web.
> Can anyone suggest a workaround? I don't have the time at the moment
> to get to grips with the source.
>
> See below for a simple example.
>
> Thanks for your help!
> Duncan
>
> ----
>
> from pylab import *
>
> fig = figure()
>
> ax1 = fig.add_axes([0.1,0.1,0.8,0.8],label='axes 1')
> ax2 = fig.add_axes([0.1,0.1,0.8,0.8],label='axes 2')
>
> plot1 = ax1.plot([1,2,3],[1,2,3])
> plot2 = ax2.plot([4,5,6],[3,2,1])
>
> ax1.axis([0,4,0,4])
> ax1.set_xlabel('bottom')
> ax1.set_ylabel('left')
>
> ax2.axis([3,7,0,4])
> ax2.xaxis.tick_top()
> ax2.yaxis.tick_right()
> ax2.set_xlabel('top') # I expected this to place the word "top"
> at the top of the figure, corresponding to the ticks for ax2's x-axis
> ax2.set_ylabel('right') # I expected this to place the word
> "right" at the right of the figure, corresponding to the ticks for
> ax2's y-axis
>
> ax2.axesPatch.set_fill(False) # so that you can see through to ax1
>
> fig.canvas.draw()
>
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