code: def add_cell(self, row="unknown", col="unknown",
                   val="unknown", type="int32", meta=""):
          
          if self.arr is None:
              self.arr = np.array(
                  [(row, val)], dtype=[ (self.name, "S50"), (col, type)])
              self.meta = np.array(
                  [(row, val)], dtype=[ (self.name, TYPE_META), (col, type)])
              self.irt[row] = 0
  
          if not row in self._get_row_hdrs():
              self._expand_row(row)
  
          if not col in self._get_col_hdrs():
              self._expand_col(col, type)
  
          try:
              self._add_cell(val, row, col, meta)
          except ValueError:
              logging.error("unable to add val %s to [%s,%s]: "
                            "not a compatible data type" % (val, row, col))
              return False
  
          return True
docs: Add/update a val on cell [row, col]
  
          Create new rows or columns accordingly
  
          @param row : row header name
          @param col : column header name
          @param meta: meta data to control data display