DataFrameGroupBy.boxplot()

DataFrameGroupBy.boxplot(grouped, subplots=True, column=None, fontsize=None, rot=0, grid=True, ax=None, figsize=None, layout=None, **kwds) [source]

Make box plots from DataFrameGroupBy data.

Parameters:

Parameters:	grouped : Grouped DataFrame subplots : `False` - no subplots will be used `True` - create a subplot for each group column : column name or list of names, or vector Can be any valid input to groupby fontsize : int or string rot : label rotation angle grid : Setting this to True will show the grid ax : Matplotlib axis object, default None figsize : A tuple (width, height) in inches layout : tuple (optional) (rows, columns) for the layout of the plot kwds : other plotting keyword arguments to be passed to matplotlib boxplot function
Returns:	dict of key/value = group key/DataFrame.boxplot return value or DataFrame.boxplot return value in case subplots=figures=False

grouped : Grouped DataFrame

subplots :

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

column : column name or list of names, or vector

Can be any valid input to groupby

fontsize : int or string

rot : label rotation angle

grid : Setting this to True will show the grid

ax : Matplotlib axis object, default None

figsize : A tuple (width, height) in inches

layout : tuple (optional)

(rows, columns) for the layout of the plot

kwds : other plotting keyword arguments to be passed to matplotlib boxplot

function

Returns:

dict of key/value = group key/DataFrame.boxplot return value

or DataFrame.boxplot return value in case subplots=figures=False

Examples

>>> import pandas
>>> import numpy as np
>>> import itertools
>>>
>>> tuples = [t for t in itertools.product(range(1000), range(4))]
>>> index = pandas.MultiIndex.from_tuples(tuples, names=['lvl0', 'lvl1'])
>>> data = np.random.randn(len(index),4)
>>> df = pandas.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)

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.core.groupby.DataFrameGroupBy.boxplot.html

doc_Pandas

2025-01-10 15:47:30

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