if data_frame is not None:
// tidy up tickers into a format that is more easily translatable
returned_tickers = [x.replace(" - Value", "") for x in returned_tickers]
returned_tickers = [x.replace(" - VALUE", "") for x in returned_tickers]
returned_tickers = [x.replace(".", "/") for x in returned_tickers]
fields = self.translate_from_vendor_field(["close" for x in returned_tickers], time_series_request)
After Change
// tidy up tickers into a format that is more easily translatable
// we can often get multiple fields returned (even if we don"t ask for them!)
// convert to lower case
returned_fields = [(x.split(" - ")[1]).lower().replace(" ", "-") for x in returned_tickers]
returned_tickers = [x.replace(".", "/") for x in returned_tickers]
returned_tickers = [x.split(" - ")[0] for x in returned_tickers]
fields = self.translate_from_vendor_field(returned_fields, time_series_request)
tickers = self.translate_from_vendor_ticker(returned_tickers, time_series_request)
ticker_combined = []