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chore: remove some deprecated functions from datakitchen

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Matthias
2026-04-12 13:24:50 +02:00
parent 755a426992
commit 15bba1b0d0
1 changed files with 2 additions and 6 deletions
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freqtrade/freqai/data_kitchen.py
+2 -6
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@@ -24,8 +24,6 @@ from freqtrade.strategy import merge_informative_pair
from freqtrade.strategy.interface import IStrategy from freqtrade.strategy.interface import IStrategy
pd.set_option("future.no_silent_downcasting", True)
SECONDS_IN_DAY = 86400 SECONDS_IN_DAY = 86400
SECONDS_IN_HOUR = 3600 SECONDS_IN_HOUR = 3600
@@ -239,16 +237,14 @@ class FreqaiDataKitchen:
filtered_df = filtered_df.replace([np.inf, -np.inf], np.nan) filtered_df = filtered_df.replace([np.inf, -np.inf], np.nan)
drop_index = pd.isnull(filtered_df).any(axis=1) # get the rows that have NaNs, drop_index = pd.isnull(filtered_df).any(axis=1) # get the rows that have NaNs,
drop_index = drop_index.replace(True, 1).replace(False, 0).infer_objects(copy=False) drop_index = drop_index.replace(True, 1).replace(False, 0).infer_objects()
if training_filter: if training_filter:
# we don't care about total row number (total no. datapoints) in training, we only care # we don't care about total row number (total no. datapoints) in training, we only care
# about removing any row with NaNs # about removing any row with NaNs
# if labels has multiple columns (user wants to train multiple modelEs), we detect here # if labels has multiple columns (user wants to train multiple modelEs), we detect here
labels = unfiltered_df.filter(label_list or [], axis=1) labels = unfiltered_df.filter(label_list or [], axis=1)
drop_index_labels = pd.isnull(labels).any(axis=1) drop_index_labels = pd.isnull(labels).any(axis=1)
drop_index_labels = ( drop_index_labels = drop_index_labels.replace(True, 1).replace(False, 0).infer_objects()
drop_index_labels.replace(True, 1).replace(False, 0).infer_objects(copy=False)
)
dates = unfiltered_df["date"] dates = unfiltered_df["date"]
filtered_df = filtered_df[ filtered_df = filtered_df[
(drop_index == 0) & (drop_index_labels == 0) (drop_index == 0) & (drop_index_labels == 0)