⚡ Bolt: Vectorize heat index calculation#17
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Vectorized the heat index calculation in `nasa_data.py` and `era5_data.py` using NumPy operations instead of `df.apply`. This results in a >100x speedup for this specific calculation. - Replaced `df.apply` with `np.where` and vectorized arithmetic. - Added `test_heat_index_performance.py` to verify logic correctness and prevent regression. - Added `.gitignore` to prevent committing generated files. Co-authored-by: cmonteverde <83616016+cmonteverde@users.noreply.github.com>
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This PR optimizes the heat index calculation in
nasa_data.pyandera5_data.pyby replacing row-wisedf.applywith vectorized NumPy operations.Changes:
nasa_data.py: Vectorizedcalculate_heat_indexlogic usingnp.wherefor the conditional check (T < 26°C).era5_data.py: Vectorizedcalculate_heat_indexlogic, handling unit conversions (C to F and back) and conditional checks (T < 80°F) using NumPy.test_heat_index_performance.py: A new test file that mocks API responses and verifies the vectorized implementation produces correct results matching the original logic..gitignore: To ensure build artifacts and cache files are not committed.Performance:
nasa_data.pylogic and ~137x forera5_data.pylogic on 100k rows.Verification:
test_heat_index_performance.py(passed).test_nasa_data.py(passed).PR created automatically by Jules for task 13939408731509633281 started by @cmonteverde