⚡ Bolt: [performance improvement] Optimize DataFrame iteration in validation script#78
⚡ Bolt: [performance improvement] Optimize DataFrame iteration in validation script#78alinelena wants to merge 1 commit into
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Replaced df.iterrows() with df.to_dict('records') in verify_processed_omol25.py.
This removes the overhead of creating a Pandas Series object per row, greatly improving performance for large dataframes.
Co-authored-by: alinelena <3306823+alinelena@users.noreply.github.com>
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💡 What: Replaced
df.iterrows()withdf.to_dict('records')inverify_processed_omol25.py.🎯 Why:
iterrows()is notoriously slow in Pandas because it wraps every row into a Series object and forces type inference/conversions. Converting the entire DataFrame to a C-optimized list of dictionaries first eliminates this massive overhead, making iterations significantly faster.📊 Impact: Large performance improvement (potentially 10x-100x faster execution) for processing iterations during the validation of large parquet datasets.
🔬 Measurement: Compare the script runtime on a large dataset before and after the change.
PR created automatically by Jules for task 13377439542182999454 started by @alinelena