⚡ Bolt: Optimize Pandas DataFrame iteration - #804
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💡 What: Replaced Pandas DataFrame `iterrows()` loops with `itertuples(index=False, name=None)` and `to_dict('records')` across benchmark scripts.
🎯 Why: `iterrows()` is a known performance bottleneck for DataFrame iteration and produces `FutureWarning`s for integer-based indexing on Pandas `Series` objects.
📊 Impact: Significantly faster execution during reference data parsing and iteration, and avoids runtime warnings.
🔬 Measurement: Profile the execution time of benchmark data loading functions (e.g. `test_elasticity`, `run_gscdb138`); no `FutureWarning`s should be emitted during dataset iteration.
Co-authored-by: alinelena <3306823+alinelena@users.noreply.github.com>
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💡 What: Replaced Pandas DataFrame
iterrows()loops withitertuples(index=False, name=None)andto_dict('records')across benchmark scripts.🎯 Why:
iterrows()is a known performance bottleneck for DataFrame iteration and producesFutureWarnings for integer-based indexing on PandasSeriesobjects.📊 Impact: Significantly faster execution during reference data parsing and iteration, and avoids runtime warnings.
🔬 Measurement: Profile the execution time of benchmark data loading functions (e.g.
test_elasticity,run_gscdb138); noFutureWarnings should be emitted during dataset iteration.PR created automatically by Jules for task 10240360883861990892 started by @alinelena