python - pandas 日期时间转换不一致

Question

可重现的示例:

import pandas as pd
now = pd.Timestamp('2018-04-09 09:10')
start_of_today = pd.datetime(now.year, now.month, now.day, 0)
print(pd.to_datetime(start_of_today.timestamp(), unit='s'))

最后一行将返回 2018-04-08 22:00:00 而不是 2018-04-09 00:00，为什么会发生这种情况？

Answer 1

根据datetime.timestamp documentation :

For aware datetime instances, the return value is computed as:

(dt - datetime(1970, 1, 1, tzinfo=timezone.utc)).total_seconds()

因此，您需要将 pd.datetime 对象与 UTC 时区对齐:

from datetime import timezone
import pandas as pd

now = pd.Timestamp('2018-04-09 09:10')
start_of_today = pd.datetime(now.year, now.month, now.day, 0, 0, 0, 0, timezone.utc)
print(pd.to_datetime(start_of_today.timestamp(), unit='s'))