code: def import_bin(filename, **kwargs):
      metadata, data_raw = _import_bin(filename)
      skip_rows = kwargs.get('skip_rows', 0)
      if skip_rows > 0:
          data_raw.drop(data_raw.index[range(0, skip_rows)], inplace=True)
          data_raw = data_raw.reset_index()
      if kwargs.get('check_meas_nums', True):
          if data_raw['measurement_num'].iloc[0] != 0:
              print('WARNING: Measurement numbers do not start with 0 ' +
                    '(did you download ALL data?)')
          if not np.all(np.diff(data_raw['measurement_num'])) == 1:
              print(
                  'WARNING '
                  'Measurement numbers are not consecutive. '
                  'Perhaps the first measurement belongs to another measurement?'
                  ' Use the skip_rows parameter to skip those measurements'
              )
          diff = data_raw['measurement_num'].diff()[1:]
          jump = np.where(diff != 1)[0]
          if len(jump) > 0:
              print('WARNING: One or more jumps in measurement numbers detected')
              print('The jump indices are:')
              for jump_nr in jump:
                  print(jump_nr)
              print('Removing data points subsequent to the first jump')
              data_raw = data_raw.iloc[0:jump[0] + 1, :]
      if data_raw.shape[0] == 0:
          return pd.DataFrame(columns=['a', 'b', 'm', 'n', 'r']), None, None
      data = _convert_coords_to_abmn_X(
          data_raw[['x_a', 'x_b', 'x_m', 'x_n']],
          **kwargs
      )
      data['r'] = data_raw['vp'] / data_raw['Iab']
      data['Vmn'] = data_raw['vp']
      data['vab'] = data_raw['vab']
      data['Iab'] = data_raw['Iab']
      data['mdelay'] = data_raw['mdelay']
      data['Tm'] = data_raw['Tm']
      data['Mx'] = data_raw['Mx']
      data['chargeability'] = data_raw['m']
      data['q'] = data_raw['q']
      rec_max = kwargs.get('reciprocals', None)
      if rec_max is not None:
          print('renumbering electrode numbers')
          data[['a', 'b', 'm', 'n']] = rec_max + 1 - data[['a', 'b', 'm', 'n']]
      return data, None, None