// __data = DataFrame(
// __data, columns=["code", "open", "high", "low", "close", "up_count", "down_count", "volume", "amount", "date"])
// __data["date"] = pd.to_datetime(__data["date"])
__data = __data.set_index("date", drop=False)
else:
print("QA Error QA_fetch_index_day format parameter %s is none of \"P, p, pandas, pd , n, N, numpy !\" " % format)
return __data
else:
QA_util_log_info("QA something wrong with date")
After Change
if format in ["P", "p", "pandas", "pd"]:
return res
elif format in ["json", "dict"]:
return QA_util_to_json_from_pandas(res)
// 多种数据格式
elif format in ["n", "N", "numpy"]: