code: def read(self, ncfile, timegrid_data) -> None:
          
          array = query_array(ncfile, self.name)
          idxs: Tuple[Any] = (slice(None),)
          subdev2index = self.query_subdevice2index(ncfile)
          for devicename, seq in self.sequences.items():
              if seq.NDIM:
                  if self._timeaxis:
                      subshape = (array.shape[1],) + seq.shape
                  else:
                      subshape = (array.shape[0],) + seq.shape
                  subarray = numpy.empty(subshape)
                  temp = devicename + '_'
                  for prod in self._product(seq.shape):
                      station = temp + '_'.join(str(idx) for idx in prod)
                      idx0 = subdev2index.get_index(station)
                      subarray[idxs+prod] = array[self.get_timeplaceslice(idx0)]
              else:
                  idx = subdev2index.get_index(devicename)
                  subarray = array[self.get_timeplaceslice(idx)]
              seq.series = seq.adjust_series(timegrid_data, subarray)
docs: Read the data from the given NetCDF file.
  
          The argument `timegrid_data` defines the data period of the
          given NetCDF file.
  
          See the general documentation on class |NetCDFVariableFlat|
          for some examples.