code: def cut(self, start=0, end=-1, index=False):
          
          s_index, e_index = time_indices(self.npts, self.dt, start, end, index)
          self._values = np.array(self.values[s_index:e_index])
docs: The method cuts the time series to reduce its length.
          :param start: int or float, optional, New start point
          :param end: int or float, optional, New end point
          :param index: bool, optional, if False then start and end are considered values in time.