code: def price_dataframe(symbols='sp5002012',
      start=datetime.datetime(2008, 1, 1),
      end=datetime.datetime(2009, 12, 31),  
      price_type='actual_close',
      cleaner=clean_dataframe,
      ):
      
      if isinstance(price_type, basestring):
          price_type = [price_type]
      start = util.normalize_date(start or datetime.date(2008, 1, 1))
      end = util.normalize_date(end or datetime.date(2009, 12, 31))
      symbols = normalize_symbols(symbols)
      t = du.getNYSEdays(start, end, datetime.timedelta(hours=16))
      df = clean_dataframes(dataobj.get_data(t, symbols, price_type))
      if not df or len(df) > 1:
          return cleaner(df)
      else:
          return cleaner(df[0])
docs: Retrieve the prices of a list of equities as a DataFrame (columns = symbols)
  
      Arguments:
        symbols (list of str): Ticker symbols like "GOOG", "AAPL", etc
          e.g. ["AAPL", " slv ", GLD", "GOOG", "$SPX", "XOM", "msft"]
        start (datetime): The date at the start of the period being analyzed.
        end (datetime): The date at the end of the period being analyzed.
          Yahoo data stops at 2013/1/1