code: def transform_timeseries4pypsa(timeseries, timerange, column=None):
      
      timeseries.index = [str(i) for i in timeseries.index]
  
      if column is None:
          pypsa_timeseries = timeseries.apply(
              Series).transpose().set_index(timerange)
      else:
          pypsa_timeseries = timeseries[column].apply(
              Series).transpose().set_index(timerange)
  
      return pypsa_timeseries
docs: Transform pq-set timeseries to PyPSA compatible format
      Parameters
      ----------
      timeseries: Pandas DataFrame
          Containing timeseries
      Returns
      -------
      pypsa_timeseries: Pandas DataFrame
          Reformated pq-set timeseries