pandas.core.groupby.DataFrameGroupBy.boxplot — pandas 3.0.0.dev0+2104.ge637b4290d documentation (original) (raw)

DataFrameGroupBy.boxplot(subplots=True, column=None, fontsize=None, rot=0, grid=True, ax=None, figsize=None, layout=None, sharex=False, sharey=True, backend=None, **kwargs)[source]#

Make box plots from DataFrameGroupBy data.

Parameters:

groupedDataFrameGroupBy

The grouped DataFrame object over which to create the box plots.

subplotsbool

• False - no subplots will be used
• True - create a subplot for each group.

columncolumn name or list of names, or vector

Can be any valid input to groupby.

fontsizefloat or str

Font size for the labels.

rotfloat

Rotation angle of labels (in degrees) on the x-axis.

gridbool

Whether to show grid lines on the plot.

axMatplotlib axis object, default None

The axes on which to draw the plots. If None, uses the current axes.

figsizetuple of (float, float)

The figure size in inches (width, height).

layouttuple (optional)

The layout of the plot: (rows, columns).

sharexbool, default False

Whether x-axes will be shared among subplots.

shareybool, default True

Whether y-axes will be shared among subplots.

backendstr, default None

Backend to use instead of the backend specified in the optionplotting.backend. For instance, ‘matplotlib’. Alternatively, to specify the plotting.backend for the whole session, setpd.options.plotting.backend.

**kwargs

All other plotting keyword arguments to be passed to matplotlib’s boxplot function.

Returns:

dict or DataFrame.boxplot return value

If subplots=True, returns a dictionary of group keys to the boxplot return values. If subplots=False, returns the boxplot return value of a single DataFrame.

See also

DataFrame.boxplot

Create a box plot from a DataFrame.

Series.plot

Plot a Series.

Examples

You can create boxplots for grouped data and show them as separate subplots:

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.

grouped.boxplot(subplots=False, rot=45, fontsize=12)