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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def plot(self, format='segments', bits=None, **kwargs):
 """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. """

        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'")