code: def plot(self, format='segments', bits=None, **kwargs):
          
          if format == 'timeseries':
              return super(StateVector, self).plot(**kwargs)
          if format == 'segments':
              from ..plot import Plot
              kwargs.setdefault('xscale', 'auto-gps')
              return Plot(*self.to_dqflags(bits=bits).values(),
                          projection='segments', **kwargs)
          raise ValueError("'format' argument must be one of: 'timeseries' or "
                           "'segments'")
docs: Plot the data for this `StateVector`
  
          Parameters
          ----------
          format : `str`, optional, default: ``'segments'``
              The type of plot to make, either 'segments' to plot the
              SegmentList for each bit, or 'timeseries' to plot the raw
              data for this `StateVector`
  
          bits : `list`, optional
              A list of bit indices or bit names, defaults to
              `~StateVector.bits`. This argument is ignored if ``format`` is
              not ``'segments'``
  
          **kwargs
              Other keyword arguments to be passed to either
              `~gwpy.plot.SegmentAxes.plot` or
              `~gwpy.plot.Axes.plot`, depending
              on ``format``.
  
          Returns
          -------
          plot : `~gwpy.plot.Plot`
              output plot object
  
          See Also
          --------
          matplotlib.pyplot.figure
              for documentation of keyword arguments used to create the
              figure
          matplotlib.figure.Figure.add_subplot
              for documentation of keyword arguments used to create the
              axes
          gwpy.plot.SegmentAxes.plot_flag
              for documentation of keyword arguments used in rendering each
              statevector flag.