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I was following the code in the new seaborn 0.9.0 release as displayed on the site and I got an error when typing in the following code. The code came from the bottom of this page https://seaborn.pydata.org/tutorial/categorical.html

import seaborn as sns

tips = sns.load_dataset("tips")

sns.catplot(x="day", y="total_bill", hue="smoker",

            col="time", aspect=.6,

            kind="swarm", data=tips);

This is the output from running the above code. I have tried creating a new environment and everything has been updated. I still do not know why it is not working.

---------------------------------------------------------------------------

IndexError                                Traceback (most recent call last)

<ipython-input-21-c1ae50b18a54> in <module>

      3 sns.catplot(x="day", y="total_bill", hue="smoker",

      4             col="time", aspect=.6,

----> 5             kind="swarm", data=tips);

      6 get_ipython().run_line_magic('version_information', '')



~/anaconda3/envs/python3/lib/python3.7/site-packages/seaborn/categorical.py in catplot(x, y, hue, data, row, col, col_wrap, estimator, ci, n_boot, units, order, hue_order, row_order, col_order, kind, height, aspect, orient, color, palette, legend, legend_out, sharex, sharey, margin_titles, facet_kws, **kwargs)

   3753 

   3754     # Draw the plot onto the facets

-> 3755     g.map_dataframe(plot_func, x, y, hue, **plot_kws)

   3756 

   3757     # Special case axis labels for a count type plot



~/anaconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py in map_dataframe(self, func, *args, **kwargs)

    818 

    819             # Draw the plot

--> 820             self._facet_plot(func, ax, args, kwargs)

    821 

    822         # Finalize the annotations and layout



~/anaconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py in _facet_plot(self, func, ax, plot_args, plot_kwargs)

    836 

    837         # Draw the plot

--> 838         func(*plot_args, **plot_kwargs)

    839 

    840         # Sort out the supporting information



~/anaconda3/envs/python3/lib/python3.7/site-packages/seaborn/categorical.py in swarmplot(x, y, hue, data, order, hue_order, dodge, orient, color, palette, size, edgecolor, linewidth, ax, **kwargs)

   2989                        linewidth=linewidth))

   2990 

-> 2991     plotter.plot(ax, kwargs)

   2992     return ax

   2993 



~/anaconda3/envs/python3/lib/python3.7/site-packages/seaborn/categorical.py in plot(self, ax, kws)

   1444     def plot(self, ax, kws):

   1445         """Make the full plot."""

-> 1446         self.draw_swarmplot(ax, kws)

   1447         self.add_legend_data(ax)

   1448         self.annotate_axes(ax)



~/anaconda3/envs/python3/lib/python3.7/site-packages/seaborn/categorical.py in draw_swarmplot(self, ax, kws)

   1404                 kws.update(c=point_colors)

   1405                 if self.orient == "v":

-> 1406                     points = ax.scatter(cat_pos, swarm_data, s=s, **kws)

   1407                 else:

   1408                     points = ax.scatter(swarm_data, cat_pos, s=s, **kws)



~/anaconda3/envs/python3/lib/python3.7/site-packages/matplotlib/__init__.py in inner(ax, data, *args, **kwargs)

   1803                         "the Matplotlib list!)" % (label_namer, func.__name__),

   1804                         RuntimeWarning, stacklevel=2)

-> 1805             return func(ax, *args, **kwargs)

   1806 

   1807         inner.__doc__ = _add_data_doc(inner.__doc__,



~/anaconda3/envs/python3/lib/python3.7/site-packages/matplotlib/axes/_axes.py in scatter(self, x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, **kwargs)

   4193                 isinstance(c, str) or

   4194                 (isinstance(c, collections.Iterable) and

-> 4195                     isinstance(c[0], str))):

   4196             c_array = None

   4197         else:



IndexError: index 0 is out of bounds for axis 0 with size 0

This is unfortunately a bug in matplotlib 3.0.1. It's been reported here and fixed by pull/12673.

Options you have are to install either matplotlib 3.0.0 or 3.0.2.