如何更改 Python 中 pandas 数据框列的时区

Question

我有以下代码在过去 5 年中在纽约证券交易所创建 table 个工作日：

import pandas as pd
import datetime, pytz
import pandas_market_calendars as mcal

today_date = datetime.datetime.now(tz=pytz.timezone('US/Eastern'))
print(today_date)

start_date = datetime.date(today_date.year - 5, today_date.month, today_date.day)
print(start_date)

nyse_calender = mcal.get_calendar('NYSE')
print(nyse_calender.tz.zone)
nyse_business_days = nyse_calender.schedule(start_date=start_date, 
                                            end_date=today_date)

nyse_business_days

这是输出：

            market_open                 market_close
2017-01-18  2017-01-18 14:30:00+00:00   2017-01-18 21:00:00+00:00
2017-01-19  2017-01-19 14:30:00+00:00   2017-01-19 21:00:00+00:00
2017-01-20  2017-01-20 14:30:00+00:00   2017-01-20 21:00:00+00:00
2017-01-23  2017-01-23 14:30:00+00:00   2017-01-23 21:00:00+00:00
2017-01-24  2017-01-24 14:30:00+00:00   2017-01-24 21:00:00+00:00
...     ...     ...
2022-01-11  2022-01-11 14:30:00+00:00   2022-01-11 21:00:00+00:00
2022-01-12  2022-01-12 14:30:00+00:00   2022-01-12 21:00:00+00:00
2022-01-13  2022-01-13 14:30:00+00:00   2022-01-13 21:00:00+00:00
2022-01-14  2022-01-14 14:30:00+00:00   2022-01-14 21:00:00+00:00
2022-01-18  2022-01-18 14:30:00+00:00   2022-01-18 21:00:00+00:00

1260 rows × 2 columns

我实际上希望看到美国东部时区的时间，但事实并非如此。

例如，第一行的market_open应该是2017-01-18 09:30:00+ 00:00 但它显示的是 2017-01-18 14:30:00+00:00.

我应该怎么做才能在 US/Eastern 的两列中获取时区？它以 UTC 显示时区，但这不是我需要的。

附录：

我根据@IanKenney 的评论尝试了以下方法：

nyse_business_days["market_open"] = nyse_business_days["market_open"].tz_localize(pytz.utc).tz_convert(pytz.timezone('US/Eastern'))

当我打印出来时，这是我得到的：

    market_open     market_close
2017-01-18  NaT     2017-01-18 21:00:00+00:00
2017-01-19  NaT     2017-01-19 21:00:00+00:00
2017-01-20  NaT     2017-01-20 21:00:00+00:00
2017-01-23  NaT     2017-01-23 21:00:00+00:00
2017-01-24  NaT     2017-01-24 21:00:00+00:00
...     ...     ...
2022-01-11  NaT     2022-01-11 21:00:00+00:00
2022-01-12  NaT     2022-01-12 21:00:00+00:00
2022-01-13  NaT     2022-01-13 21:00:00+00:00
2022-01-14  NaT     2022-01-14 21:00:00+00:00
2022-01-18  NaT     2022-01-18 21:00:00+00:00

1260 rows × 2 columns

Answer 1

您可以尝试以下方法来转换时区

nyse_business_days['market_open'] = [t.tz_convert(pytz.timezone('US/Eastern')) for t in nyse_business_days['market_open']]

如何更改 Python 中 pandas 数据框列的时区

How to change timezone of a pandas dataframe columnin Python

python

python-3.x

pandas

datetime

python-datetime