我有帶有UTC時(shí)間戳記的數(shù)據(jù)。我想將此時(shí)間戳的時(shí)區(qū)轉(zhuǎn)換為“ US / Pacific”，并將其作為層次結(jié)構(gòu)索引添加到pandas DataFrame。我已經(jīng)能夠?qū)r(shí)間戳轉(zhuǎn)換為索引，但是當(dāng)我嘗試將其作為列或索引添加回DataFrame時(shí)，它將丟失時(shí)區(qū)格式。>>> import pandas as pd>>> dat = pd.DataFrame({'label':['a', 'a', 'a', 'b', 'b', 'b'], 'datetime':['2011-07-19 07:00:00', '2011-07-19 08:00:00', '2011-07-19 09:00:00', '2011-07-19 07:00:00', '2011-07-19 08:00:00', '2011-07-19 09:00:00'], 'value':range(6)})>>> dat.dtypes#datetime    object#label       object#value        int64#dtype: object現(xiàn)在，如果我嘗試直接轉(zhuǎn)換系列，則會(huì)遇到錯(cuò)誤。>>> times = pd.to_datetime(dat['datetime'])>>> times.tz_localize('UTC')#Traceback (most recent call last):#  File "<stdin>", line 1, in <module>#  File "/Users/erikshilts/workspace/schedule-detection/python/pysched/env/lib/python2.7/site-packages/pandas/core/series.py", line 3170, in tz_localize#    raise Exception('Cannot tz-localize non-time series')#Exception: Cannot tz-localize non-time series如果將其轉(zhuǎn)換為索引，則可以將其作為時(shí)間序列進(jìn)行操作。注意，索引現(xiàn)在具有太平洋時(shí)區(qū)。>>> times_index = pd.Index(times)>>> times_index_pacific = times_index.tz_localize('UTC').tz_convert('US/Pacific')>>> times_index_pacific#<class 'pandas.tseries.index.DatetimeIndex'>#[2011-07-19 00:00:00, ..., 2011-07-19 02:00:00]#Length: 6, Freq: None, Timezone: US/Pacific但是，現(xiàn)在我遇到了將索引添加回?cái)?shù)據(jù)框的問(wèn)題，因?yàn)樗チ藭r(shí)區(qū)格式：>>> dat_index = dat.set_index([dat['label'], times_index_pacific])>>> dat_index#                                      datetime label  value#label                                                      #a     2011-07-19 07:00:00  2011-07-19 07:00:00     a      0#      2011-07-19 08:00:00  2011-07-19 08:00:00     a      1#      2011-07-19 09:00:00  2011-07-19 09:00:00     a      2#b     2011-07-19 07:00:00  2011-07-19 07:00:00     b      3#      2011-07-19 08:00:00  2011-07-19 08:00:00     b      4#      2011-07-19 09:00:00  2011-07-19 09:00:00     b      5您會(huì)注意到索引返回到UTC時(shí)區(qū)，而不是轉(zhuǎn)換后的太平洋時(shí)區(qū)。如何更改時(shí)區(qū)并將其作為索引添加到DataFrame？