Update converter.py, revert random formatting changes

This commit is contained in:
TheJoeSchr 2023-08-18 13:27:18 +02:00 committed by Joe Schr
parent 1530bb6a40
commit 4478f72492

View File

@ -456,8 +456,7 @@ def ohlcv_fill_up_missing_data(dataframe: DataFrame, timeframe: str, pair: str)
df.reset_index(inplace=True) df.reset_index(inplace=True)
len_before = len(dataframe) len_before = len(dataframe)
len_after = len(df) len_after = len(df)
pct_missing = (len_after - len_before) / \ pct_missing = (len_after - len_before) / len_before if len_before > 0 else 0
len_before if len_before > 0 else 0
if len_before != len_after: if len_before != len_after:
message = (f"Missing data fillup for {pair}: before: {len_before} - after: {len_after}" message = (f"Missing data fillup for {pair}: before: {len_before} - after: {len_after}"
f" - {pct_missing:.2%}") f" - {pct_missing:.2%}")
@ -502,8 +501,7 @@ def trim_dataframes(preprocessed: Dict[str, DataFrame], timerange,
processed: Dict[str, DataFrame] = {} processed: Dict[str, DataFrame] = {}
for pair, df in preprocessed.items(): for pair, df in preprocessed.items():
trimed_df = trim_dataframe( trimed_df = trim_dataframe(df, timerange, startup_candles=startup_candles)
df, timerange, startup_candles=startup_candles)
if not trimed_df.empty: if not trimed_df.empty:
processed[pair] = trimed_df processed[pair] = trimed_df
else: else: