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Internal change. #730

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20 changes: 17 additions & 3 deletions init2winit/projects/optlrschedule/notebook_utils/parquet_util.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,8 @@ def load_parquet_file(
file_name: Optional[str] = None,
*,
sort_by: str = 'score',
ascending: bool = True
ascending: bool = True,
include_provenance: bool = False,
) -> pd.DataFrame:
"""Load a single parquet file and return it as a sorted DataFrame.

Expand All @@ -36,6 +37,9 @@ def load_parquet_file(
file_name (optional): File name string (default: 'results.parquet')
sort_by: Column to sort by (default: 'score')
ascending: Sort order (default: True)
include_provenance: Whether to include the provenance of the data in the
DataFrame (default: False). If set, adds a column 'provenance' to the
DataFrame with the path of the file.

Returns:
pandas DataFrame
Expand All @@ -55,6 +59,8 @@ def load_parquet_file(
if sort_by in df.columns:
df.sort_values(by=sort_by, ascending=ascending, inplace=True)

if include_provenance:
df['provenance'] = str(path)
return df


Expand All @@ -63,7 +69,8 @@ def load_all_parquet_files(
file_name: Optional[str] = None,
*,
sort_by: str = 'score',
ascending: bool = True
ascending: bool = True,
include_provenance: bool = False,
) -> pd.DataFrame:
"""Load and merge all parquet files from different paths.

Expand All @@ -72,6 +79,9 @@ def load_all_parquet_files(
file_name (optional): File name string (default: 'results.parquet')
sort_by: Column to sort by (default: 'score').
ascending: Sort order (default: True).
include_provenance: Whether to include the provenance of the data in the
DataFrame (default: False). If set, adds a column 'provenance' to the
DataFrame with the path of the file each row came from.

Returns:
Merged pandas DataFrame.
Expand All @@ -80,7 +90,11 @@ def load_all_parquet_files(

for path in paths:
df = load_parquet_file(
path, file_name, sort_by=sort_by, ascending=ascending
path,
file_name,
sort_by=sort_by,
ascending=ascending,
include_provenance=include_provenance,
)
if not df.empty:
dfs.append(df)
Expand Down