Download test_tasks/Medical-Data-Standardization/electrolyte-rounding-harmonization/solution/run.py from yucangjie/SkillFlow-Task: direct link, hf CLI and curl.
- Browser
- Download file 849 Bytes
-
https://huggingface.co/datasets/yucangjie/SkillFlow-Task/resolve/main/test_tasks/Medical-Data-Standardization/electrolyte-rounding-harmonization/solution/run.py
- Command line
-
hf download hf://datasets/yucangjie/SkillFlow-Task/test_tasks/Medical-Data-Standardization/electrolyte-rounding-harmonization/solution/run.py
-
curl -L -o run.py https://huggingface.co/datasets/yucangjie/SkillFlow-Task/resolve/main/test_tasks/Medical-Data-Standardization/electrolyte-rounding-harmonization/solution/run.py
849 Bytes
| from pathlib import Path | |
| import sys | |
| sys.path.insert(0, str((Path(__file__).resolve().parent / "tools").resolve())) | |
| import pandas as pd | |
| from harmonize import normalize_frame | |
| data_dir = Path('/root/environment/data') | |
| df = pd.read_csv(data_dir / 'electrolyte_rounding_panel.csv', dtype=str) | |
| specs = {'Sodium': ('same', 1.0, 110, 170), 'Potassium': ('same', 1.0, 2.0, 8.5), 'Chloride': ('same', 1.0, 70, 140), 'Bicarbonate': ('same', 1.0, 5, 40), 'Magnesium': ('single', 0.411, 0.5, 10), 'Calcium': ('single', 0.25, 5.0, 15.0), 'Glucose': ('single', 0.0555, 20, 800), 'Creatinine': ('single', 88.4, 0.2, 20)} | |
| clean = normalize_frame(df, specs, id_column='encounter_id') | |
| clean[['Sodium', 'Potassium', 'Chloride', 'Bicarbonate', 'Magnesium', 'Calcium', 'Glucose', 'Creatinine']].to_csv('/root/electrolyte_rounding_panel_harmonized.csv', index=False) | |