Question

我有一个带有TimeStamps列的数据框。我想将其转换为本地时间的字符串，即夏令时。

所以我想将下面的ts [0]转换为＆＃34; 2015-03-30 03 ：55：05＆＃34;。熊猫似乎知道DST，但只有当你在系列上调用.values时才会知道。

由于

(Pdb) ts = df['TimeStamps']
(Pdb) ts
0   2015-03-30 02:55:05.993000
1   2015-03-30 03:10:20.937000
2   2015-03-30 10:09:19.947000
Name: TimeStamps, dtype: datetime64[ns]
(Pdb) ts[0]
Timestamp('2015-03-30 02:55:05.993000')
(Pdb) ts.values
array(['2015-03-30T03:55:05.993000000+0100',
   '2015-03-30T04:10:20.937000000+0100',
   '2015-03-30T11:09:19.947000000+0100'], dtype='datetime64[ns]')

Answer 1

DST与您的位置有关（例如伦敦DST在纽约开始几周后开始）。您首先需要了解时间戳时区：

from pytz import UTC
from pytz import timezone
import datetime as dt

ts = pd.Timestamp(datetime.datetime(2015, 3, 31, 15, 47, 25, 901597))
# or...
ts = pd.Timestamp('2015-03-31 15:47:25.901597')
# ts is a Timestamp, but it has no idea where in the world it is...
>>> ts.tzinfo is None
True

# So the timestamp needs to be localized.  Assuming it was originally a UTC timestamp, it can be localized to UTC.
ts_utc = ts.tz_localize(UTC)
# Once localized, it can be expressed in other timezone regions, e.g.: 
eastern = pytz.timezone('US/Eastern')
ts_eastern = ts_utc.astimezone(eastern)
# And to convert it to an ISO string of local time (e.g. eastern):
>>> ts_eastern.isoformat()
'2015-03-30T08:09:27.143173-04:00'

有关详细信息，请参阅pytz或datetime。

python pandas TimeStamps到夏令时的本地时间字符串

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