Datasets:
| norm_params = { | |
| 'LAT': {'min_val': -66.817333, 'max_val': 51.055833}, | |
| 'LON': {'min_val': -178.116667, 'max_val': 171.358333}, | |
| 'ALTI': {'min_val': 0.0, 'max_val': 3845.0}, | |
| 'AAAAMMJJHH': {'min_val': 1777010107, 'max_val': 2024030803}, | |
| 'ANNEE': {'min_val': 1777, 'max_val': 2024}, | |
| 'MOIS': {'min_val': 1, 'max_val': 12}, | |
| 'JOUR': {'min_val': 1, 'max_val': 31}, | |
| 'HEURE': {'min_val': 0, 'max_val': 23}, | |
| } | |
| def normalize_column(column, min_val, max_val): | |
| return (column.astype('float64') - min_val) / (max_val - min_val) |