pandas.DataFrame.boxplot¶

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 orother 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 isaxes‘axes’ returns the matplotlib axes the boxplot is drawn on;‘dict’ returns a dictionary whose values are the matplotlibLines of the boxplot;‘both’ returns a namedtuple with the axes and dict. When grouping withby, a Series mapping columns toreturn_typeis returned, unlessreturn_type is None, in which case a NumPyarray 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

Usereturn_type='dict' when you want to tweak the appearanceof the lines after plotting. In this case a dict containing the Linesmaking up the boxes, caps, fliers, medians, and whiskers is returned.