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Setting dtype to decimal results in "StringArray requires a sequence of strings or pandas.NA" error #410

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Setting dtype to decimal results in "StringArray requires a sequence of strings or pandas.NA" error #410

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2 changes: 1 addition & 1 deletion awswrangler/_data_types.py
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Original file line number Diff line number Diff line change
Expand Up @@ -491,7 +491,7 @@ def _cast_pandas_column(df: pd.DataFrame, col: str, current_type: str, desired_t
df[col] = df[col].astype("string").str.encode(encoding="utf-8").replace(to_replace={pd.NA: None})
elif desired_type == "decimal":
# First cast to string
df = _cast_pandas_column(df=df, col=col, current_type=current_type, desired_type="string")
df = _cast_pandas_column(df=df, col=col, current_type=current_type, desired_type="str")
# Then cast to decimal
df[col] = df[col].apply(lambda x: Decimal(str(x)) if str(x) not in ("", "none", "None", " ", "<NA>") else None)
else:
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