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fix: copying orderflow dataframe from cache doesn't work

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This commit is contained in:
Joe Schr
2024-06-24 17:14:22 +02:00
parent d23c33a47f
commit ecd2118941
1 changed files with 7 additions and 1 deletions
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freqtrade/data/converter/orderflow.py
+7 -1
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@@ -111,7 +111,13 @@ def populate_dataframe_with_trades(config, dataframe, trades):
# Use caching mechanism # Use caching mechanism
if (candle_start, candle_next) in cached_grouped_trades: if (candle_start, candle_next) in cached_grouped_trades:
cache_entry = cached_grouped_trades[(candle_start, candle_next)] cache_entry = cached_grouped_trades[(candle_start, candle_next)]
dataframe.loc[is_between] = cache_entry # dataframe.loc[is_between] = cache_entry # doesn't take, so we need workaround:
# Create a dictionary of the column values to be assigned
update_dict = {c: cache_entry[c].iat[0] for c in cache_entry.columns}
# Assign the values using the update_dict
dataframe.loc[is_between, update_dict.keys()] = pd.DataFrame(
[update_dict], index=dataframe.loc[is_between].index
)
continue continue
# Store trades in Series using integer indices # Store trades in Series using integer indices