Pandas hexbin plot lacks X axis labels in IPython Notebook

When using pandas.DataFrame.plot() with kind='hexbin', the resulting plot sometimes has no X tick labels and on X axis label. This is observed in IPython Notebook (ipython version 3.2.0) with Python 3.4, matplotlib 1.4.3, with %pylab --no-import-all inline. The same code produces a correct plot in IPython terminal on the same setup, with %pylab --no-import-all. This happens only on some dataframes, here’s the code I run:

df = pd.read_csv('/tmp/example.csv', index_col=0)
df.plot('x', 'y', kind='hexbin', gridsize=10)

Here’s the df:

           x           y
0  18.378351  111.080217
1  17.371567  118.277121
2  24.659952  169.528504
3  31.774163  310.880044
4  17.181311  113.618851
5  20.455473  149.341431
6  18.218108  132.492567
7  23.453792  157.083139
8  25.340805  158.190820

And here’s the example.csv file used. The plot from the Notebook is below. Also, here is another fellow with the same problem.

[BDannowitz]

I’m seeing this problem as well with python 2.7, pandas 0.16.2.dev, and ipython version 3.1.0.

Looking to the documentation for pandas.DataFrame.plot, the only reference to the x labels and ticks being invisible is in the sharex option. So, I manually set sharex=False (which it should have been by default), and poof, the xlabel and xticks appeared.

Hopefully this helps tracking down the bug.

[takluyver]

Closing as it appears to be a pandas bug. Anyone who’s still seeing it, follow along with pydata/pandas#10678.