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feat: expose minfied when converting trade list to dataframe

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Matthias
2025-11-16 14:17:10 +01:00
parent c66adf2bf1
commit c877d267c7
1 changed files with 5 additions and 2 deletions
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freqtrade/data/btanalysis/bt_fileutils.py
+5 -2
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@@ -517,13 +517,16 @@ def load_backtest_analysis_data(
return None return None
def trade_list_to_dataframe(trades: list[Trade] | list[LocalTrade]) -> pd.DataFrame: def trade_list_to_dataframe(
trades: list[Trade] | list[LocalTrade], *, minified: bool = True
) -> pd.DataFrame:
""" """
Convert list of Trade objects to pandas Dataframe Convert list of Trade objects to pandas Dataframe
:param trades: List of trade objects :param trades: List of trade objects
:param minified: Whether to use minified version of trade JSON
:return: Dataframe with BT_DATA_COLUMNS :return: Dataframe with BT_DATA_COLUMNS
""" """
df = pd.DataFrame.from_records([t.to_json(True) for t in trades], columns=BT_DATA_COLUMNS) df = pd.DataFrame.from_records([t.to_json(minified) for t in trades], columns=BT_DATA_COLUMNS)
if len(df) > 0: if len(df) > 0:
df["close_date"] = pd.to_datetime(df["close_timestamp"], unit="ms", utc=True) df["close_date"] = pd.to_datetime(df["close_timestamp"], unit="ms", utc=True)
df["open_date"] = pd.to_datetime(df["open_timestamp"], unit="ms", utc=True) df["open_date"] = pd.to_datetime(df["open_timestamp"], unit="ms", utc=True)