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Correct indexing

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This commit is contained in:
th0rntwig 2022-09-07 18:14:13 +02:00
parent 047ded1baa
commit cdc72bf8ca
1 changed files with 1 additions and 3 deletions
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4
freqtrade/freqai/data_kitchen.py
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@ -209,7 +209,7 @@ class FreqaiDataKitchen:
filtered_df = unfiltered_df.filter(training_feature_list, axis=1)
filtered_df = filtered_df.replace([np.inf, -np.inf], np.nan)
const_cols = filtered_df[:, filtered_df.nunique(axis=0) == len(filtered_df.index)].columns
const_cols = list((filtered_df.nunique() == 1).loc[lambda x: x].index)
if const_cols:
filtered_df = filtered_df.filter(filtered_df.columns.difference(const_cols))
logger.warning(f"Removed features {const_cols} with constant values.")
@ -1205,7 +1205,6 @@ class FreqaiDataKitchen:
def save_backtesting_prediction(
self, append_df: DataFrame
) -> None:
"""
Save prediction dataframe from backtesting to h5 file format
:param append_df: dataframe for backtesting period
@ -1219,7 +1218,6 @@ class FreqaiDataKitchen:
def get_backtesting_prediction(
self
) -> DataFrame:
"""
Get prediction dataframe from h5 file format
"""