How to compute the time difference between two time zones in python?
Here is a solution using the Python library Pytz which solves the issue of ambiguous times at the end of daylight saving time.
from pytz import timezone import pandas as pd def tz_diff(date, tz1, tz2): ''' Returns the difference in hours between timezone1 and timezone2 for a given date. ''' date = pd.to_datetime(date) return (tz1.localize(date) - tz2.localize(date).astimezone(tz1))\ .seconds/3600
The examples below calculate the difference in hours between UTC and Australia time for the first of January and first of June respectively. Notice how daylight savings are taken into consideration.
utc = timezone('UTC') aus = timezone('Australia/Sydney') tz_diff('2017-01-01', utc, aus) # 11.0 tz_diff('2017-06-01', utc, aus) # 10.0
I created two functions to deal with timezone.
import datetime import pytz def diff_hours_tz(from_tz_name, to_tz_name, negative=False): """ Returns difference hours between timezones res = diff_hours_tz("UTC", "Europe/Paris") : 2 """ from_tz = pytz.timezone(from_tz_name) to_tz = pytz.timezone(to_tz_name) utc_dt = datetime.datetime.now(datetime.timezone.utc) dt_from = dt_to = datetime.datetime.utcnow() dt_from = from_tz.localize(dt_from) dt_to = to_tz.localize(dt_to) from_d = dt_from - utc_dt if from_d.days < 0: return diff_hours_tz(to_tz_name, from_tz_name, True) dt_delta = dt_from - dt_to negative_int = -1 if negative else 1 return int(dt_delta.seconds/3600)*negative_int def dt_tz_to_tz(dt, from_tz_name, to_tz_name): """ Apply difference hours between timezones to a datetime object dt_new = dt_tz_to_tz(datetime.datetime.now(), "UTC", "Europe/Paris") """ hours = diff_hours_tz(from_tz_name, to_tz_name) return dt+datetime.timedelta(hours=hours) # Usage example res = diff_hours_tz("Europe/Paris", "America/New_York") # Result : -6 res = diff_hours_tz("UTC", "Europe/Paris") # Result : 2 now = datetime.datetime.now() # Result : 2019-06-18 15:10:31.720105 dt_new = dt_tz_to_tz(now, "UTC", "Europe/Paris") # Result : 2019-06-18 17:10:31.720105 dt_new = dt_tz_to_tz(now, "Europe/Paris", "America/New_York") # Result : 2019-06-18 09:10:31.720105 dt_new = dt_tz_to_tz(now, "America/New_York", "Europe/Paris") # Result : 2019-06-18 21:10:31.720105
I hope it will help !
Here's another solution:
from datetime import datetime from pytz import timezone from dateutil.relativedelta import relativedelta utcnow = timezone('utc').localize(datetime.utcnow()) # generic time here = utcnow.astimezone(timezone('US/Eastern')).replace(tzinfo=None) there = utcnow.astimezone(timezone('Asia/Ho_Chi_Minh')).replace(tzinfo=None) offset = relativedelta(here, there) offset.hours
Here what we're doing is converting a time to two different time zones. Then, we remove the time zone information so that when you calculate the difference between the two using relativedelta, we trick it into thinking that these are two different moments in time instead of the same moment in different time zones.
The above result will return -11, however this amount can change throughout the year since US/Eastern observes DST and Asia/Ho_Chi_Minh does not.
The first thing you have to know is that the offset between two time zones depends not only on the time zones in question, but on the date you're asking about. For example, the dates on which Daylight Savings Time began and ended changed in the US in 2007. While fundamental time zone logistics change only infrequently in any single location, the rate of change globally is impossible to ignore. Therefore, you have to incorporate the date in question into your function.
Having completed the necessary preface, the actual function isn't too hard to write if you take advantage of the pendulum library. It should look something like this:
import pendulum def tz_diff(home, away, on=None): """ Return the difference in hours between the away time zone and home. `home` and `away` may be any values which pendulum parses as timezones. However, recommended use is to specify the full formal name. See https://gist.github.com/pamelafox/986163 As not all time zones are separated by an integer number of hours, this function returns a float. As time zones are political entities, their definitions can change over time. This is complicated by the fact that daylight savings time does not start and end on the same days uniformly across the globe. This means that there are certain days of the year when the returned value between `Europe/Berlin` and `America/New_York` is _not_ `6.0`. By default, this function always assumes that you want the current definition. If you prefer to specify, set `on` to the date of your choice. It should be a `Pendulum` object. This function returns the number of hours which must be added to the home time in order to get the away time. For example, ```python >>> tz_diff('Europe/Berlin', 'America/New_York') -6.0 >>> tz_diff('Europe/Berlin', 'Asia/Kabul') 2.5 ``` """ if on is None: on = pendulum.today() diff = (on.set(tz=home) - on.set(tz=away)).total_hours() # what about the diff from Tokyo to Honolulu? Right now the result is -19.0 # it should be 5.0; Honolulu is naturally east of Tokyo, just not so around # the date line if abs(diff) > 12.0: if diff < 0.0: diff += 24.0 else: diff -= 24.0 return diff
As stated in the documentation, you may not get a stable result for this between any two given locations as you sweep across the days of the year. However, implementing a variant which chooses the median result over the days of the current year is an exercise left for the reader.