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Update comment regarting NaT replacement

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This commit is contained in:
Matthias 2022-02-09 09:32:53 +01:00
parent 2e41d80a2c
commit af984bdc0d
1 changed files with 1 additions and 3 deletions
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4
freqtrade/rpc/rpc.py
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@ -969,9 +969,7 @@ class RPC:
datetime_types = ['datetime', 'datetime64', 'datetime64[ns, UTC]'] datetime_types = ['datetime', 'datetime64', 'datetime64[ns, UTC]']
date_columns = dataframe.select_dtypes(include=datetime_types) date_columns = dataframe.select_dtypes(include=datetime_types)
for date_column in date_columns: for date_column in date_columns:
# replace NaT with empty string, # replace NaT with `None`
# because if replaced with `None`
# it will be casted into NaT again
dataframe[date_column] = dataframe[date_column].astype(object).replace({NaT: None}) dataframe[date_column] = dataframe[date_column].astype(object).replace({NaT: None})
dataframe = dataframe.replace({inf: None, -inf: None, NAN: None}) dataframe = dataframe.replace({inf: None, -inf: None, NAN: None})