How to make a timezone aware datetime object

In general, to make a naive datetime timezone-aware, use the localize method:

import datetime
import pytz

unaware = datetime.datetime(2011, 8, 15, 8, 15, 12, 0)
aware = datetime.datetime(2011, 8, 15, 8, 15, 12, 0, pytz.UTC)

now_aware = pytz.utc.localize(unaware)
assert aware == now_aware

For the UTC timezone, it is not really necessary to use localize since there is no daylight savings time calculation to handle:

now_aware = unaware.replace(tzinfo=pytz.UTC)

works. (.replace returns a new datetime; it does not modify unaware.)

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All of these examples use an external module, but you can achieve the same result using just the datetime module, as also presented in this SO answer:

from datetime import datetime, timezone

dt = datetime.now()
dt = dt.replace(tzinfo=timezone.utc)

print(dt.isoformat())
# '2017-01-12T22:11:31+00:00'

Fewer dependencies and no pytz issues.

NOTE: If you wish to use this with python3 and python2, you can use this as well for the timezone import (hardcoded for UTC):

try:
    from datetime import timezone
    utc = timezone.utc
except ImportError:
    #Hi there python2 user
    class UTC(tzinfo):
        def utcoffset(self, dt):
            return timedelta(0)
        def tzname(self, dt):
            return "UTC"
        def dst(self, dt):
            return timedelta(0)
    utc = UTC()

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I wrote this Python 2 script in 2011, but never checked if it works on Python 3.

I had moved from dt_aware to dt_unaware:

dt_unaware = dt_aware.replace(tzinfo=None)

and dt_unware to dt_aware:

from pytz import timezone
localtz = timezone('Europe/Lisbon')
dt_aware = localtz.localize(dt_unware)

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I use this statement in Django to convert an unaware time to an aware:

from django.utils import timezone

dt_aware = timezone.make_aware(dt_unaware, timezone.get_current_timezone())

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Python 3.9 adds the zoneinfo module so now only the standard library is needed!

from zoneinfo import ZoneInfo
from datetime import datetime
unaware = datetime(2020, 10, 31, 12)

Attach a timezone:

>>> unaware.replace(tzinfo=ZoneInfo('Asia/Tokyo'))
datetime.datetime(2020, 10, 31, 12, 0, tzinfo=zoneinfo.ZoneInfo(key='Asia/Tokyo'))
>>> str(_)
'2020-10-31 12:00:00+09:00'

Attach the system's local timezone:

>>> unaware.replace(tzinfo=ZoneInfo('localtime'))
datetime.datetime(2020, 10, 31, 12, 0, tzinfo=zoneinfo.ZoneInfo(key='localtime'))
>>> str(_)
'2020-10-31 12:00:00+01:00'

Subsequently it is properly converted to other timezones:

>>> unaware.replace(tzinfo=ZoneInfo('localtime')).astimezone(ZoneInfo('Asia/Tokyo'))
datetime.datetime(2020, 10, 31, 20, 0, tzinfo=backports.zoneinfo.ZoneInfo(key='Asia/Tokyo'))
>>> str(_)
'2020-10-31 20:00:00+09:00'

Wikipedia list of available time zones

Windows has no system time zone database, so here an extra package is needed:

pip install tzdata  

There is a backport to allow use of zoneinfo in Python 3.6 to 3.8:

pip install backports.zoneinfo

Then:

from backports.zoneinfo import ZoneInfo

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I agree with the previous answers, and is fine if you are ok to start in UTC. But I think it is also a common scenario for people to work with a tz aware value that has a datetime that has a non UTC local timezone.

If you were to just go by name, one would probably infer replace() will be applicable and produce the right datetime aware object. This is not the case.

the replace( tzinfo=... ) seems to be random in its behaviour. It is therefore useless. Do not use this!

localize is the correct function to use. Example:

localdatetime_aware = tz.localize(datetime_nonaware)

Or a more complete example:

import pytz
from datetime import datetime
pytz.timezone('Australia/Melbourne').localize(datetime.now())

gives me a timezone aware datetime value of the current local time:

datetime.datetime(2017, 11, 3, 7, 44, 51, 908574, tzinfo=<DstTzInfo 'Australia/Melbourne' AEDT+11:00:00 DST>)

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Use dateutil.tz.tzlocal() to get the timezone in your usage of datetime.datetime.now() and datetime.datetime.astimezone():

from datetime import datetime
from dateutil import tz

unlocalisedDatetime = datetime.now()

localisedDatetime1 = datetime.now(tz = tz.tzlocal())
localisedDatetime2 = datetime(2017, 6, 24, 12, 24, 36, tz.tzlocal())
localisedDatetime3 = unlocalisedDatetime.astimezone(tz = tz.tzlocal())
localisedDatetime4 = unlocalisedDatetime.replace(tzinfo = tz.tzlocal())

Note that datetime.astimezone will first convert your datetime object to UTC then into the timezone, which is the same as calling datetime.replace with the original timezone information being None.

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This codifies @Sérgio and @unutbu's answers. It will "just work" with either a pytz.timezone object or an IANA Time Zone string.

def make_tz_aware(dt, tz='UTC', is_dst=None):
    """Add timezone information to a datetime object, only if it is naive."""
    tz = dt.tzinfo or tz
    try:
        tz = pytz.timezone(tz)
    except AttributeError:
        pass
    return tz.localize(dt, is_dst=is_dst) 

This seems like what datetime.localize() (or .inform() or .awarify()) should do, accept both strings and timezone objects for the tz argument and default to UTC if no time zone is specified.

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for those that just want to make a timezone aware datetime

import datetime

datetime.datetime(2019, 12, 7, tzinfo=datetime.timezone.utc)

for those that want a datetime with a non utc timezone starting in python 3.9 stdlib

import datetime
from zoneinfo import ZoneInfo

datetime.datetime(2019, 12, 7, tzinfo=ZoneInfo("America/Los_Angeles")) 

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Yet another way of having a datetime object NOT naive:

>>> from datetime import datetime, timezone
>>> datetime.now(timezone.utc)
datetime.datetime(2021, 5, 1, 22, 51, 16, 219942, tzinfo=datetime.timezone.utc)

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quite new to Python and I encountered the same issue. I find this solution quite simple and for me it works fine (Python 3.6):

unaware=parser.parse("2020-05-01 0:00:00")
aware=unaware.replace(tzinfo=tz.tzlocal()).astimezone(tz.tzlocal())

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Here is a simple solution to minimize changes to your code:

from datetime import datetime
import pytz

start_utc = datetime.utcnow()
print ("Time (UTC): %s" % start_utc.strftime("%d-%m-%Y %H:%M:%S"))

Time (UTC): 09-01-2021 03:49:03

tz = pytz.timezone('Africa/Cairo')
start_tz = datetime.now().astimezone(tz)
print ("Time (RSA): %s" % start_tz.strftime("%d-%m-%Y %H:%M:%S"))

Time (RSA): 09-01-2021 05:49:03

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In the format of unutbu's answer; I made a utility module that handles things like this, with more intuitive syntax. Can be installed with pip.

import datetime
import saturn

unaware = datetime.datetime(2011, 8, 15, 8, 15, 12, 0)
now_aware = saturn.fix_naive(unaware)

now_aware_madrid = saturn.fix_naive(unaware, 'Europe/Madrid')

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Changing between timezones

import pytz
from datetime import datetime

other_tz = pytz.timezone('Europe/Madrid')

# From random aware datetime...
aware_datetime = datetime.utcnow().astimezone(other_tz)
>> 2020-05-21 08:28:26.984948+02:00

# 1. Change aware datetime to UTC and remove tzinfo to obtain an unaware datetime
unaware_datetime = aware_datetime.astimezone(pytz.UTC).replace(tzinfo=None)
>> 2020-05-21 06:28:26.984948

# 2. Set tzinfo to UTC directly on an unaware datetime to obtain an utc aware datetime
aware_datetime_utc = unaware_datetime.replace(tzinfo=pytz.UTC)
>> 2020-05-21 06:28:26.984948+00:00

# 3. Convert the aware utc datetime into another timezone
reconverted_aware_datetime = aware_datetime_utc.astimezone(other_tz)
>> 2020-05-21 08:28:26.984948+02:00

# Initial Aware Datetime and Reconverted Aware Datetime are equal
print(aware_datetime1 == aware_datetime2)
>> True

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Above all mentioned approaches, when it is a Unix timestamp . This is a very simple solution using pandas.

import pandas as pd
unix_timestamp = 1513393355
pst_tz = pd.Timestamp(unix_timestamp, unit='s', tz='US/Pacific')
utc_tz = pd.Timestamp(unix_timestamp , unit='s', tz='UTC')

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