Created
February 16, 2019 16:48
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| import pandas as pd | |
| ciclo = pd.read_csv('exempo_ciclo.txt', encoding='iso-8859-1', sep='\t') | |
| gps = pd.read_csv('exempolo_GPS.txt', encoding='iso-8859-1', sep='\t') | |
| ciclo['dataCarregamento'] = pd.to_datetime(ciclo['dataCarregamento'], format='%d/%m/%y %H:%M:%S') | |
| ciclo['dataBasculamento'] = pd.to_datetime(ciclo['dataBasculamento'], format='%d/%m/%y %H:%M:%S') | |
| gps['Data-Hora'] = pd.to_datetime(gps['Data-Hora'], format='%d/%m/%y %H:%M:%S') | |
| gps = gps.sort_values('Data-Hora') | |
| ciclo = ciclo.sort_values('dataCarregamento') | |
| a = pd.merge_asof(gps, ciclo, left_on='Data-Hora', right_on='dataCarregamento', direction='backward') | |
| ciclo = ciclo.sort_values('dataBasculamento') | |
| b = pd.merge_asof(gps, ciclo, left_on='Data-Hora', right_on='dataBasculamento', direction='forward') | |
| resultado = gps[~(a['Data'].isnull()) & ~(b['Data'].isnull())] | |
| resultado.to_csv('resultado.txt', index=False) |
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