Datasets:
File size: 548 Bytes
e57783c 33b7338 |
1 2 3 4 5 6 7 8 9 10 11 12 13 |
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) |