code: def _parsemeta_tmy2(columns, line):
      
      # Remove duplicated spaces, and read in each element
      rawmeta = " ".join(line.split()).split(" ")
      meta = rawmeta[:3]  # take the first string entries
      meta.append(int(rawmeta[3]))
      # Convert to decimal notation with S negative
      longitude = (
          float(rawmeta[5]) + float(rawmeta[6])/60) * (2*(rawmeta[4] == 'N') - 1)
      # Convert to decimal notation with W negative
      latitude = (
          float(rawmeta[8]) + float(rawmeta[9])/60) * (2*(rawmeta[7] == 'E') - 1)
      meta.append(longitude)
      meta.append(latitude)
      meta.append(float(rawmeta[10]))
  
      # Creates a dictionary of metadata
      meta_dict = dict(zip(columns.split(','), meta))
      return meta_dict
docs: Retrieves metadata from the top line of the tmy2 file.
  
      Parameters
      ----------
      columns : string
          String of column headings in the header
  
      line : string
          Header string containing DataFrame
  
      Returns
      -------
      meta : Dict of metadata contained in the header string