I have the following code creating a table of business days in NYSE during the past 5 years:
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
And here is the output:
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
I actually expect to see times in Eastern time zone in US but it is not the case.
For instance, market_open in the first row should be 2017-01-18 09:30:00+00:00 but what it shows is 2017-01-18 14:30:00+00:00.
What am I supposed to do to get timezones in both columns in US/Eastern? It shows timzones in UTC but it is not what I need.
ADDENDUM:
I tried the following based on @IanKenney 's comment:
nyse_business_days["market_open"] = nyse_business_days["market_open"].tz_localize(pytz.utc).tz_convert(pytz.timezone('US/Eastern'))
And when I print it out, here is what I get:
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
You can try the following to convert the timezones
nyse_business_days['market_open'] = [t.tz_convert(pytz.timezone('US/Eastern')) for t in nyse_business_days['market_open']]