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Fixed pandas FutureWarning (#1073)

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* Fixed pandas FutureWarning

`FutureWarning: Passing a set as an indexer is deprecated and will raise in a future version. Use a list instead.`

* fixed another pandas FutureWarning

```
scripts/data_collector/index.py:228: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  new_df = new_df.append(_tmp_df, sort=False)
```

* fixed more pandas futurewarnings
This commit is contained in:
Hubedge
2022-04-27 18:43:26 +08:00
committed by GitHub
parent 00e40e775b
commit 84ff662a26
5 changed files with 7 additions and 7 deletions
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4
qlib/contrib/report/analysis_position/parse_position.py
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@@ -68,9 +68,9 @@ def parse_position(position: dict = None) -> pd.DataFrame:
if not _trading_day_sell_df.empty:
_trading_day_sell_df["status"] = -1
_trading_day_sell_df["date"] = _trading_date
_trading_day_df = _trading_day_df.append(_trading_day_sell_df, sort=False)
_trading_day_df = pd.concat([_trading_day_df, _trading_day_sell_df], sort=False)
result_df = result_df.append(_trading_day_df, sort=True)
result_df = pd.concat([result_df, _trading_day_df], sort=True)
previous_data = dict(
date=_trading_date,

2
qlib/contrib/report/analysis_position/risk_analysis.py
View File

@@ -85,7 +85,7 @@ def _get_monthly_risk_analysis_with_report(report_normal_df: pd.DataFrame) -> pd
# _m_report_long_short,
pd.Timestamp(year=gp_m[0], month=gp_m[1], day=month_days),
)
_monthly_df = _monthly_df.append(_temp_df, sort=False)
_monthly_df = pd.concat([_monthly_df, _temp_df], sort=False)
return _monthly_df