code: def q_gram(self,
                 qrange=qtransform.DEFAULT_QRANGE,
                 frange=qtransform.DEFAULT_FRANGE,
                 mismatch=qtransform.DEFAULT_MISMATCH,
                 snrthresh=5.5,
                 **kwargs):
          
          qscan, _ = qtransform.q_scan(self, mismatch=mismatch, qrange=qrange,
                                       frange=frange, **kwargs)
          qgram = qscan.table(snrthresh=snrthresh)
          return qgram
docs: Scan a `TimeSeries` using the multi-Q transform and return an
          `EventTable` of the most significant tiles
  
          Parameters
          ----------
          qrange : `tuple` of `float`, optional
              `(low, high)` range of Qs to scan
  
          frange : `tuple` of `float`, optional
              `(low, high)` range of frequencies to scan
  
          mismatch : `float`, optional
              maximum allowed fractional mismatch between neighbouring tiles
  
          snrthresh : `float`, optional
              lower inclusive threshold on individual tile SNR to keep in the
              table
  
          **kwargs
              other keyword arguments to be passed to :meth:`QTiling.transform`,
              including ``'epoch'`` and ``'search'``
  
          Returns
          -------
          qgram : `EventTable`
              a table of time-frequency tiles on the most significant `QPlane`
  
          See Also
          --------
          TimeSeries.q_transform
              for a method to interpolate the raw Q-transform over a regularly
              gridded spectrogram
          gwpy.signal.qtransform
              for code and documentation on how the Q-transform is implemented
          gwpy.table.EventTable.tile
              to render this `EventTable` as a collection of polygons
  
          Notes
          -----
          Only tiles with signal energy greater than or equal to
          `snrthresh ** 2 / 2` will be stored in the output `EventTable`. The
          table columns are ``'time'``, ``'duration'``, ``'frequency'``,
          ``'bandwidth'``, and ``'energy'``.