boxplot_frame_groupby(grouped, subplots=True, column=None, fontsize=None, rot=0, grid=True, ax=None, figsize=None, layout=None, sharex=False, sharey=True, backend=None, **kwargs)
False
- no subplots will be used
True
- create a subplot for each group.
Can be any valid input to groupby.
The layout of the plot: (rows, columns).
Whether x-axes will be shared among subplots.
Whether y-axes will be shared among subplots.
Backend to use instead of the backend specified in the option plotting.backend
. For instance, 'matplotlib'. Alternatively, to specify the plotting.backend
for the whole session, set pd.options.plotting.backend
.
All other plotting keyword arguments to be passed to matplotlib's boxplot function.
Make box plots from DataFrameGroupBy data.
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)) # doctest: +SKIPThe subplots=False
option shows the boxplots in a single figure.
.. plot::
('context', 'close-figs')
See :>>> grouped.boxplot(subplots=False, rot=45, fontsize=12) # doctest: +SKIP
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