docs: def get_col_info(table_name, col_name, meta_file):
      """Return the content and metadata of a fiven column.
  
      Args:
          table_name(str): Name of the table.
          col_name(str): Name of the column.
          meta_file(str): Path to the meta.json file.
  
      Returns:
          tuple(pandas.Series, dict)
      """
  
      with open(meta_file, 'r') as f:
          meta = json.load(f)
  
      data_table, table = load_data_table(table_name, meta_file, meta)
  
      for field in table['fields']:
          if field['name'] == col_name:
              col_meta = field
  
      col = data_table[col_name]
  
      return (col, col_meta)