pandas 从 utc 到本地的时移

pandas time shift from utc to local

我正在尝试将 utc 时间转换为本地时间。这是我之前的

df_combined_features['timestamp'][1:10]
2013-01-24   2013-01-24 11:00:00
2013-04-25   2013-04-25 10:00:00
2013-07-25   2013-07-25 10:00:00
2013-10-24   2013-10-24 10:00:00
2014-01-30   2014-01-30 11:00:00
2014-04-24   2014-04-24 10:00:00
2014-07-24   2014-07-24 10:00:00
2014-10-23   2014-10-23 10:00:00
2015-01-27   2015-01-27 11:00:00

这就是我所做的

df_combined_features['time_stamp'].tz_localize('US/Central')[1:10]
2013-01-24 00:00:00-06:00   2013-01-24 11:00:00
2013-04-25 00:00:00-05:00   2013-04-25 10:00:00
2013-07-25 00:00:00-05:00   2013-07-25 10:00:00
2013-10-24 00:00:00-05:00   2013-10-24 10:00:00
2014-01-30 00:00:00-06:00   2014-01-30 11:00:00
2014-04-24 00:00:00-05:00   2014-04-24 10:00:00
2014-07-24 00:00:00-05:00   2014-07-24 10:00:00
2014-10-23 00:00:00-05:00   2014-10-23 10:00:00
2015-01-27 00:00:00-06:00   2015-01-27 11:00:00

我认为它做对了,但我不明白输出格式。特别是

1) 为什么转换后的列显示为新索引?

2) 我知道 -06:00 (在最后一行)是一个小时班,所以时间是 6:00 上午,我如何检索该信息,准确的当地时间?

期望的输出,我想要发布准确的时间,包括与 utc 的偏移量。 当地时间 utc 时间

    2013-01-24 05:00:00   2013-01-24 11:00:00
    2013-04-25 05:00:00   2013-04-25 10:00:00
    2013-07-25 05:00:00   2013-07-25 10:00:00
    2013-10-24 05:00:00   2013-10-24 10:00:00
    2014-01-30 05:00:00   2014-01-30 11:00:00
    2014-04-24 05:00:00   2014-04-24 10:00:00
    2014-07-24 05:00:00   2014-07-24 10:00:00
    2014-10-23 05:00:00   2014-10-23 10:00:00
    2015-01-27 05:00:00   2015-01-27 11:00:00

当您调用 tz.localize you localize the index, if you want to modify the column you need to call dt.localize 时还要添加时区偏移调用 dt.tz_convert('UTC'):

In [125]:
df['timestamp'].dt.tz_localize('utc').dt.tz_convert('US/Central')

Out[125]:
index
2013-01-24   2013-01-24 05:00:00-06:00
2013-04-25   2013-04-25 05:00:00-05:00
2013-07-25   2013-07-25 05:00:00-05:00
2013-10-24   2013-10-24 05:00:00-05:00
2014-01-30   2014-01-30 05:00:00-06:00
2014-04-24   2014-04-24 05:00:00-05:00
2014-07-24   2014-07-24 05:00:00-05:00
2014-10-23   2014-10-23 05:00:00-05:00
2015-01-27   2015-01-27 05:00:00-06:00
Name: timestamp, dtype: datetime64[ns, US/Central]

比较没有.dt:

In [126]:    
df['timestamp'].tz_localize('utc').tz_convert('US/Central')
Out[126]:
index
2013-01-23 18:00:00-06:00   2013-01-24 11:00:00
2013-04-24 19:00:00-05:00   2013-04-25 10:00:00
2013-07-24 19:00:00-05:00   2013-07-25 10:00:00
2013-10-23 19:00:00-05:00   2013-10-24 10:00:00
2014-01-29 18:00:00-06:00   2014-01-30 11:00:00
2014-04-23 19:00:00-05:00   2014-04-24 10:00:00
2014-07-23 19:00:00-05:00   2014-07-24 10:00:00
2014-10-22 19:00:00-05:00   2014-10-23 10:00:00
2015-01-26 18:00:00-06:00   2015-01-27 11:00:00
Name: timestamp, dtype: datetime64[ns]