plotting fails in pandas==0.25.0 about dabest-python HOT 9 CLOSED

In [6]: iris_dabest.mean_diff.plot();                                           
---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-6-be7fec275da2> in <module>
----> 1 iris_dabest.mean_diff.plot();

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/dabest/_classes.py in plot(self, color_col, raw_marker_size, es_marker_size, swarm_label, contrast_label, swarm_ylim, contrast_ylim, custom_palette, swarm_desat, halfviolin_desat, halfviolin_alpha, float_contrast, show_pairs, group_summaries, group_summaries_offset, fig_size, dpi, swarmplot_kwargs, violinplot_kwargs, slopegraph_kwargs, reflines_kwargs, group_summary_kwargs, legend_kwargs)
   1233         del all_kwargs["self"]
   1234 
-> 1235         out = EffectSizeDataFramePlotter(self, **all_kwargs)
   1236 
   1237         return out

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/dabest/plotter.py in EffectSizeDataFramePlotter(EffectSizeDataFrame, **plot_kwargs)
    375                          gap_width_percent=1.5,
    376                          type=group_summaries, ax=rawdata_axes,
--> 377                          **group_summary_kwargs)
    378 
    379 

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/dabest/plot_tools.py in gapped_lines(data, x, y, type, offset, ax, line_color, gap_width_percent, **kwargs)
    160 
    161     medians   = data.groupby(x)[y].median().reindex(index=group_order)
--> 162     quantiles = data.groupby(x)[y].quantile([0.25, 0.75])\
    163                                   .unstack()\
    164                                   .reindex(index=group_order)

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/core/groupby/groupby.py in quantile(self, q, interpolation)
   1951             indices = np.concatenate(arrays)
   1952             assert len(indices) == len(result)
-> 1953             return result.take(indices)
   1954 
   1955     @Substitution(name="groupby")

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/core/series.py in take(self, indices, axis, is_copy, **kwargs)
   4430 
   4431         indices = ensure_platform_int(indices)
-> 4432         new_index = self.index.take(indices)
   4433 
   4434         if is_categorical_dtype(self):

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/core/indexes/multi.py in take(self, indices, axis, allow_fill, fill_value, **kwargs)
   2030             allow_fill=allow_fill,
   2031             fill_value=fill_value,
-> 2032             na_value=-1,
   2033         )
   2034         return MultiIndex(

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/core/indexes/multi.py in _assert_take_fillable(self, values, indices, allow_fill, fill_value, na_value)
   2058                 taken = masked
   2059         else:
-> 2060             taken = [lab.take(indices) for lab in self.codes]
   2061         return taken
   2062 

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/core/indexes/multi.py in <listcomp>(.0)
   2058                 taken = masked
   2059         else:
-> 2060             taken = [lab.take(indices) for lab in self.codes]
   2061         return taken
   2062 

IndexError: index 6 is out of bounds for size 6