Update src/populate.py
Browse files- src/populate.py +5 -0
src/populate.py
CHANGED
@@ -14,12 +14,17 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
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all_data_json = [v.to_dict() for v in raw_data]
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df = pd.DataFrame.from_records(all_data_json)
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df = df.sort_values(by=[AutoEvalColumn.average.name], ascending=False) if AutoEvalColumn.average.name in df.columns else df
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filtered_cols = [col for col in cols if col in df.columns]
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df = df[filtered_cols].round(decimals=2)
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# filter out if any of the benchmarks have not been produced
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filtered_benchmark_cols = [col for col in benchmark_cols if col in df.columns]
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df = df[has_no_nan_values(df, filtered_benchmark_cols)]
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return df
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all_data_json = [v.to_dict() for v in raw_data]
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df = pd.DataFrame.from_records(all_data_json)
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print(df)
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df = df.sort_values(by=[AutoEvalColumn.average.name], ascending=False) if AutoEvalColumn.average.name in df.columns else df
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print(df.columns)
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filtered_cols = [col for col in cols if col in df.columns]
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print(filtered_cols)
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df = df[filtered_cols].round(decimals=2)
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print(df)
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# filter out if any of the benchmarks have not been produced
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filtered_benchmark_cols = [col for col in benchmark_cols if col in df.columns]
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print(filtered_benchmark_cols)
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df = df[has_no_nan_values(df, filtered_benchmark_cols)]
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return df
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