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DataFrame.boxplot(column=None, by=None, ax=None, fontsize=None, rot=0, grid=True, figsize=None, layout=None, return_type=None, **kwds)
[source] -
Make a box plot from DataFrame column optionally grouped by some columns or other inputs
Parameters: data : the pandas object holding the data
column : column name or list of names, or vector
Can be any valid input to groupby
by : string or sequence
Column in the DataFrame to group by
ax : Matplotlib axes object, optional
fontsize : int or string
rot : label rotation angle
figsize : A tuple (width, height) in inches
grid : Setting this to True will show the grid
layout : tuple (optional)
(rows, columns) for the layout of the plot
return_type : {None, ?axes?, ?dict?, ?both?}, default None
The kind of object to return. The default is
axes
?axes? returns the matplotlib axes the boxplot is drawn on; ?dict? returns a dictionary whose values are the matplotlib Lines of the boxplot; ?both? returns a namedtuple with the axes and dict.When grouping with
by
, a Series mapping columns toreturn_type
is returned, unlessreturn_type
is None, in which case a NumPy array of axes is returned with the same shape aslayout
. See the prose documentation for more.kwds : other plotting keyword arguments to be passed to matplotlib boxplot
function
Returns: lines : dict
ax : matplotlib Axes
(ax, lines): namedtuple
Notes
Use
return_type='dict'
when you want to tweak the appearance of the lines after plotting. In this case a dict containing the Lines making up the boxes, caps, fliers, medians, and whiskers is returned.
DataFrame.boxplot()
2017-01-12 04:45:35
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