parameters: (self, by=None, **kwargs)
return_statement: return self(kind="box", by=by, **kwargs)
docstring: r"""
          Make a box plot of the DataFrame columns.
  
          A box plot is a method for graphically depicting groups of numerical
          data through their quartiles.
          The box extends from the Q1 to Q3 quartile values of the data,
          with a line at the median (Q2). The whiskers extend from the edges
          of box to show the range of the data. The position of the whiskers
          is set by default to 1.5*IQR (IQR = Q3 - Q1) from the edges of the
          box. Outlier points are those past the end of the whiskers.
  
          For further details see Wikipedia's
          entry for `boxplot <https://en.wikipedia.org/wiki/Box_plot>`__.
  
          A consideration when using this chart is that the box and the whiskers
          can overlap, which is very common when plotting small sets of data.
  
          Parameters
          ----------
          by : str or sequence
              Column in the DataFrame to group by.
          **kwargs
              Additional keywords are documented in
              :meth:`DataFrame.plot`.
  
          Returns
          -------
          :class:`matplotlib.axes.Axes` or numpy.ndarray of them
  
          See Also
          --------
          DataFrame.boxplot: Another method to draw a box plot.
          Series.plot.box: Draw a box plot from a Series object.
          matplotlib.pyplot.boxplot: Draw a box plot in matplotlib.
  
          Examples
          --------
          Draw a box plot from a DataFrame with four columns of randomly
          generated data.
  
          .. plot::
              :context: close-figs
  
              >>> data = np.random.randn(25, 4)
              >>> df = pd.DataFrame(data, columns=list('ABCD'))
              >>> ax = df.plot.box()
docstring_summary: r"""
          Make a box plot of the DataFrame columns.
docstring_tokens: r Make a box plot of the DataFrame columns .
function: def box(self, by=None, **kwargs):
          r"""
          Make a box plot of the DataFrame columns.
  
          A box plot is a method for graphically depicting groups of numerical
          data through their quartiles.
          The box extends from the Q1 to Q3 quartile values of the data,
          with a line at the median (Q2). The whiskers extend from the edges
          of box to show the range of the data. The position of the whiskers
          is set by default to 1.5*IQR (IQR = Q3 - Q1) from the edges of the
          box. Outlier points are those past the end of the whiskers.
  
          For further details see Wikipedia's
          entry for `boxplot <https://en.wikipedia.org/wiki/Box_plot>`__.
  
          A consideration when using this chart is that the box and the whiskers
          can overlap, which is very common when plotting small sets of data.
  
          Parameters
          ----------
          by : str or sequence
              Column in the DataFrame to group by.
          **kwargs
              Additional keywords are documented in
              :meth:`DataFrame.plot`.
  
          Returns
          -------
          :class:`matplotlib.axes.Axes` or numpy.ndarray of them
  
          See Also
          --------
          DataFrame.boxplot: Another method to draw a box plot.
          Series.plot.box: Draw a box plot from a Series object.
          matplotlib.pyplot.boxplot: Draw a box plot in matplotlib.
  
          Examples
          --------
          Draw a box plot from a DataFrame with four columns of randomly
          generated data.
  
          .. plot::
              :context: close-figs
  
              >>> data = np.random.randn(25, 4)
              >>> df = pd.DataFrame(data, columns=list('ABCD'))
              >>> ax = df.plot.box()
          """
          return self(kind="box", by=by, **kwargs)
function_tokens: def box ( self , by = None , * * kwargs ) : return self ( kind = "box" , by = by , * * kwargs )