直接看效果
0 1.560091e+12 1 1.560051e+12 2 1.560089e+12 3 1.560063e+12 4 1.560079e+12 5 1.560068e+12 6 1.560049e+12 7 1.560031e+12 8 1.560067e+12 9 1.560058e+12 Name: nginxtime, dtype: float64 0 2019-06-09 22:31:41.087000064 1 2019-06-09 11:25:40.123000064 2 2019-06-09 22:05:45.217999872 3 2019-06-09 14:42:19.740000000 4 2019-06-09 19:23:00.271000064 5 2019-06-09 16:06:24.368000000 6 2019-06-09 11:03:50.219000064 7 2019-06-09 05:58:15.278000128 8 2019-06-09 15:59:13.801999872 9 2019-06-09 13:21:59.166000128 Name: time, dtype: datetime64[ns] all is well
代码如下
print(union_data['nginxtime'][0:10]) union_data['time'] = pd.to_datetime(union_data['nginxtime'] * 1e+6) + timedelta(hours=8) print(union_data['time'][0:10])
