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30 changes: 19 additions & 11 deletions pandas/plotting/_core.py
Original file line number Diff line number Diff line change
Expand Up @@ -547,17 +547,25 @@ def boxplot_frame_groupby(

Examples
--------
>>> import itertools
>>> tuples = [t for t in itertools.product(range(1000), range(4))]
>>> index = pd.MultiIndex.from_tuples(tuples, names=['lvl0', 'lvl1'])
>>> data = np.random.randn(len(index),4)
>>> df = pd.DataFrame(data, columns=list('ABCD'), index=index)
>>>
>>> grouped = df.groupby(level='lvl1')
>>> boxplot_frame_groupby(grouped)
>>>
>>> grouped = df.unstack(level='lvl1').groupby(level=0, axis=1)
>>> boxplot_frame_groupby(grouped, subplots=False)
You can create boxplots for grouped data and show them as separate subplots:

.. plot::
:context: close-figs

>>> import itertools
>>> tuples = [t for t in itertools.product(range(1000), range(4))]
>>> index = pd.MultiIndex.from_tuples(tuples, names=['lvl0', 'lvl1'])
>>> data = np.random.randn(len(index),4)
>>> df = pd.DataFrame(data, columns=list('ABCD'), index=index)
>>> grouped = df.groupby(level='lvl1')
>>> grouped.boxplot(rot=45, fontsize=12, figsize=(8,10))

The ``subplots=False`` option shows the boxplots in a single figure.

.. plot::
:context: close-figs

>>> grouped.boxplot(subplots=False, rot=45, fontsize=12)
"""
plot_backend = _get_plot_backend(backend)
return plot_backend.boxplot_frame_groupby(
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