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⚡️ Speed up function _rename_aggregated_columns by 298% #272

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⚡️ Speed up function _rename_aggregated_columns by 298% #272

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13 changes: 12 additions & 1 deletion unstructured/metrics/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -63,7 +63,18 @@ def _rename_aggregated_columns(df):
pandas.DataFrame: A new DataFrame with renamed aggregated columns.
"""
rename_map = {"_mean": "mean", "_stdev": "stdev", "_pstdev": "pstdev", "_count": "count"}
return df.rename(columns=rename_map)
# Create a shallow copy of the DataFrame to return a new DataFrame object
# but avoid constructing a new columns list unless a mapping key is present.
cols = df.columns
for k in rename_map:
if k in cols:
# Only build the new columns list if we need to perform any renaming.
new_cols = [rename_map.get(c, c) for c in cols]
df2 = df.copy(deep=False)
df2.columns = new_cols
return df2
# No mapping keys present; return a shallow copy to match rename's behavior of returning a new DataFrame.
return df.copy(deep=False)


def _format_grouping_output(*df):
Expand Down