Calling `xlim` has unexpected effect about joypy HOT 5 CLOSED

You're right. The thing is, in my implementation, each one of the density subplots has its own axes, with their own xlim and ylim. Then there's an outer axis pair, behind all the other ones, that is used e.g. for xticks and xlabels. The xlim values of all the subplots are the same by construction, but there is no hard constraint that makes them so.
With matplotlib.pyplot.xlim(xmin, xmax) you're changing the lims of the current X axis -- whatever current means in this case. I guess it is the last one, i.e., the "container" axis, so you're not changing the xlims of the single subplots. To get that effect, you should loop over all the axes returned by joyplot (in your case, the first 4 are your density subplots, + the last one is the "container" one) and set the xlim of each of them.

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Hi Tobias, you should apply set_xlabel to the last axes returned by the function. Something like this:

fig, axes = joypy.joyplot(data)
axes[-1].set_xlabel("My x label")

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OK, thanks.

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Hallo, this is very nice tool and I would like to use it in my Phd thesis.
However, I have some issue to set the xlabel. I see in the example above, this seems possible?
Can you tell me how to do it the standard method I use with seaborn an matplotlib and pylab in the jupyter notebook is:
xlabel('label of x')
or similar.
but this gives back:

<ipython-input-316-4a720c777783> in <module>()
5 xlabel('some x labe')
TypeError: 'str' object is not callable

If I remove the xlabel, the plot works perfectly fine and looks like this.

05_all_grainsize_distribution_Joyplot.pdf

Thank you in advance, for this tool and all the best,
Tobias

ps. plt.xlabel('label of x') doesn't work either.

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Hallo sbebo,
Ah, now I see, my fault.

Thank you very much for the fast help and the great work!
Best regards,

Tobias

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