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# 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)

  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 : {‘axes’, ‘dict’, ‘both’}, default ‘dict’ The kind of object to return. ‘dict’ returns a dictionary whose values are the matplotlib Lines of the boxplot; ‘axes’ returns the matplotlib axes the boxplot is drawn on; ‘both’ returns a namedtuple with the axes and dict. When grouping with `by`, a dict mapping columns to `return_type` is returned. 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.

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