⚡ Bolt: Pandas DataFrame Iteration Optimization#750
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Replaced slow `iterrows()` calls with `to_dict('records')` and `itertuples(index=False, name=None)` across several scripts. This avoids the overhead of instantiating `Series` objects for every row, drastically improving iteration performance.
Co-authored-by: alinelena <3306823+alinelena@users.noreply.github.com>
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💡 What: Replaced slow Pandas
iterrows()loops withitertuples(index=False, name=None)orto_dict('records').🎯 Why:
iterrows()is a known performance bottleneck as it creates a Pandas Series object for every row.📊 Impact: Significantly faster iteration over DataFrames during benchmarking and parsing steps.
🔬 Measurement: Observe faster runtime and pass in tests with
pytest.PR created automatically by Jules for task 15532347892938888609 started by @alinelena