Categories written on top of each other for multiindex bar plot with Matplotlib backend

[MarcSkovMadsen]

I would expect to be able to use the a MultiIndex bar plot with the Matplotlib backend just as with the Bokeh backend. But unfortunately the categories are written on top of each other when using the Matplotlib backend.

import pandas as pd
import hvplot.pandas  # noqa

from bokeh.sampledata.autompg import autompg_clean as autompg

autompg.head()

autompg_long_form = autompg.groupby("yr").mean(numeric_only=True).reset_index()
autompg_long_form.head()

autompg_multi_index = autompg.query("yr<=80").groupby(['yr', 'origin']).mean(numeric_only=True)
autompg_multi_index.head()

hvplot.extension("bokeh")
autompg_multi_index.hvplot.bar(width=1000, rot=90)

hvplot.extension("matplotlib")
autompg_multi_index.hvplot.bar(width=1000, rot=90)

[MarcSkovMadsen]

I can see there is also an upstream issue in HoloViews. See holoviz/holoviews#5659.