pandas 熊猫时间从 UTC 到本地
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pandas time shift from utc to local
提问by ganesh reddy
I am trying to convert utc time to local time. This is what I had before
我正在尝试将 UTC 时间转换为当地时间。这是我以前的
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
This is what I did
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
I think it did the right thing, but I dont understand the output format. In particular
我认为它做了正确的事情，但我不明白输出格式。特别是
1) Why do the converted cols appear as the new index?
1) 为什么转换后的 cols 显示为新索引？
2) I understand that -06:00 (in the last row) is an hour shift, so the time is 6:00 am, how do I retrieve that information, the exact local time?
2）我知道 -06:00（在最后一行）是一个小时班，所以时间是早上 6:00，我如何检索该信息，准确的当地时间？
Desired output, I want the exact time to be posted, including the offset from utc. local time utc time
所需的输出，我想要发布确切的时间，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
回答by EdChum
When you call tz.localizeyou localize the index, if you want to modify the column you need to call dt.localizealso to add the timezone offset call dt.tz_convert('UTC'):
当您调用tz.localize本地化索引时，如果您想修改列，您还需要调用dt.localize以添加时区偏移调用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]
Compare without .dt:
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]
