I want to change timezone in Django, so I read documentation how to do it nad here's what I've got:
#settings.py
TIME_ZONE = 'Europe/Ljubljana'
#models.py #date_time gets filled with "auto_now=True")
date_time = models.DateTimeField(auto_now=True)
UTC DST offset for given location (Europe/Ljubljana) is +2, while in my db I see timestamp of UTC. So what am I missing?
Or is this working as intended so it gets processed for each request separately (useful for people in different timezones)? But if this is the case, what's the use of setting TIME_ZONE = 'Europe/Ljubljana'?
From the documentation
When support for time zones is enabled, Django stores datetime information in UTC in the database, uses time-zone-aware datetime objects internally, and translates them to the end user’s time zone in templates and forms.
so the datetime in your DB will always be stored in UTC, but will be displayed using the correct TZ in templates and forms.
To get the date in correct TZ elsewhere, use astimezone():
>>> from myapp.models import Details
>>> import pytz
>>> d = Details.objects.get(pk=1)
>>> d.added
datetime.datetime(2016, 5, 28, 18, 59, 55, 841193, tzinfo=<UTC>)
>>> localdate = d.added.astimezone(pytz.timezone('Europe/Ljubljana'))
>>> localdate
datetime.datetime(2016, 5, 28, 20, 59, 55, 841193, tzinfo=<DstTzInfo 'Europe/Ljubljana' CEST+2:00:00 DST>)
I have some timestamp data from a database and I need to convert it to a Python datetime (in tuple format). How can I do that?
For instance, I need to convert 2013-04-16 16:31:35.649+05:30 format to datetime(2013, 4, 16, 16, 31, 35).
I am trying to do the, Django, new user registration part of the project and whenever the user submits the data and registers then he gets an verification email but whenever the user clicks the verification link then, it produces the following error:
can't compare offset-naive and offset-aware datetimes
from dateutil import parser
dt = parser.parse("2013-04-16 16:31:35.649+05:30")
# dt == datetime.datetime(2013, 4, 16, 16, 31, 35, 649000, tzinfo=tzoffset(None, 19800))
dt.astimezone(pytz.utc).replace(tzinfo=None)
returns datetime.datetime(2013, 4, 16, 11, 1, 35, 649000) which is the same instant in UTC and without tzinfo (offset-naive).
If you want to store datetime objects without tzinfo, then store it in UTC.
Large parts of the world use daylight saving time, which makes some offset-naive datetimes ambiguous. UTC does not have these problems.
I'm implementing feature with scheduled publishing of object.
User chooses the time to publish and i created a cron task to run every minute and check if it's the time to publish.
Users are from different timezones.
So i need to compare two datetimes:
>>user_chosen_time
datetime.datetime(2012, 12, 4, 14, 0, tzinfo=tzinfo(120))
>>curdate=datetime.datetime.now()
datetime.datetime(2012, 12, 4, 18, 4, 20, 17340)
>>user_chosen_time==curdate
*** TypeError: can't compare offset-naive and offset-aware datetimes
Sorry for rather stupid question but i need to discuss this. Thanks
As the error suggests you "can't compare offset-naive and offset-aware datetimes". It means that you should compare two datetimes that are both timezone-aware or both timezone-naive (not timezone-aware). In your codes, curdate has no timezone info and thus could not be compared with user_chosen_time which is timezone-aware.
First you should assign correct timezone to each datetime. And then you could directly compare two datetimes with different timezones.
Example (with pytz):
import pytz
import datetime as dt
# create timezone
nytz=pytz.timezone('America/New_York')
jptz=pytz.timezone('Asia/Tokyo')
# randomly initiate two timestamps
a=dt.datetime(2018,12,13,11,2)
b=dt.datetime(2018,12,13,22,45)
# assign timezone to timestamps
a=nytz.localize(a)
b=jptz.localize(b)
# a = datetime.datetime(2018, 12, 13, 11, 2, tzinfo=<DstTzInfo 'America/New_York' EST-1 day, 19:00:00 STD>)
# b = datetime.datetime(2018, 12, 13, 22, 45, tzinfo=<DstTzInfo 'Asia/Tokyo' JST+9:00:00 STD>)
a>b # True
b>a # False
For other methods you could refer to Convert a python UTC datetime to a local datetime using only python standard library?.
http://pytz.sourceforge.net/ is where you want to look when you want to eliminate the timezone differencies :)
edit: just found this post on SO that may give you a lot more informations on your problem
I am writing a program which deals a lot with timezones and crossing them. The two things I deal with most are creating a datetime object from "now" and then localizing a naive datetime object.
To create a datetime object from now in the pacific timezone, I am currently doing this (python 2.7.2+)
from datetime import datetime
import pytz
la = pytz.timezone("America/Los_Angeles")
now = datetime.now(la)
Is this correct with regards to DST? If not, I suppose I should be doing:
now2 = la.localize(datetime.now())
My question is why? Can anyone show me a case where the first is wrong and the seconds is right?
As for my seconds question, suppose I had a naive date and time from some user input for 9/1/2012 at 8:00am in Los Angeles, CA. Is the right way to make the datetime like this:
la.localize(datetime(2012, 9, 1, 8, 0))
If not, how should I be building these datetimes?
From the pytz documentation:
The preferred way of dealing with times is to always work in UTC, converting to localtime only when generating output to be read by humans.
So ideally you should be using utcnow instead of now.
Assuming for some reason that your hands are tied and you need to work with local times, you can still run into a problem with trying to localize the current time if you're doing it during the daylight saving transition window. The same datetime might occur twice, once during daylight time and again during standard time, and the localize method doesn't know how to settle the conflict unless you tell it explicitly with the is_dst parameter.
So to get the current UTC time:
utc = pytz.timezone('UTC')
now = utc.localize(datetime.datetime.utcnow())
And to convert it to your local time (but only when you must):
la = pytz.timezone('America/Los_Angeles')
local_time = now.astimezone(la)
Edit: as pointed out in the comments by #J.F. Sebastian, your first example using datetime.now(tz) will work in all cases. Your second example fails during the fall transition as I outlined above. I still advocate using UTC instead of local time for everything except display.
The first solution is correct with regards to DST, and the second solution is bad.
I'll give an example. Here in Europe, when running this code:
from datetime import datetime
import pytz # $ pip install pytz
la = pytz.timezone("America/Los_Angeles")
fmt = '%Y-%m-%d %H:%M:%S %Z%z'
now = datetime.now(la)
now2 = la.localize(datetime.now())
now3 = datetime.now()
print(now.strftime(fmt))
print(now2.strftime(fmt))
print(now3.strftime(fmt))
I get the following:
2012-08-30 12:34:06 PDT-0700
2012-08-30 21:34:06 PDT-0700
2012-08-30 21:34:06
datetime.now(la) creates a datetime with the current time in LA, plus the timezone information for LA.
la.localize(datetime.now()) adds timezone information to the naive datetime, but does no timezone conversion; it just assumes the time was already in this timezone.
datetime.now() creates a naive datetime (without timezone information) with the local time.
As long as you are in LA, you will not see the difference, but if your code ever runs somewhere else, it will probably not do what you wanted.
Apart from that, if you ever need to deal seriously with timezones, it is better to have all your times in UTC, saving yourself a lot of trouble with DST.
This works:
# naive datetime
d = datetime.datetime(2016, 11, 5, 16, 43, 45)
utc = pytz.UTC # UTC timezone
pst = pytz.timezone('America/Los_Angeles') # LA timezone
# Convert to UTC timezone aware datetime
d = utc.localize(d)
>>> datetime.datetime(2016, 11, 5, 16, 43, 45, tzinfo=<UTC>)
# show as in LA time zone (not converting here)
d.astimezone(pst)
>>> datetime.datetime(2016, 11, 5, 9, 43, 45,
tzinfo=<DstTzInfo 'America/Los_Angeles' PDT-1 day, 17:00:00 DST>)
# we get Pacific Daylight Time: PDT
# add 1 day to UTC date
d = d + datetime.timedelta(days=1)
>>> datetime.datetime(2016, 11, 6, 16, 43, 45, tzinfo=<UTC>)
d.astimezone(pst) # now cast to LA time zone
>>> datetime.datetime(2016, 11, 6, 8, 43, 45,
tzinfo=<DstTzInfo 'America/Los_Angeles' PST-1 day, 16:00:00 STD>)
# Daylight saving is applied -> we get Pacific Standard Time PST
This DOES NOT work:
# naive datetime
d = datetime.datetime(2016, 11, 5, 16, 43, 45)
utc = pytz.UTC # UTC timezone
pst = pytz.timezone('America/Los_Angeles') # LA timezone
# convert to UTC timezone aware datetime
d = utc.localize(d)
>>> datetime.datetime(2016, 11, 5, 16, 43, 45, tzinfo=<UTC>)
# convert to 'America/Los_Angeles' timezone: DON'T DO THIS
d = d.astimezone(pst)
>>> datetime.datetime(2016, 11, 5, 9, 43, 45,
tzinfo=<DstTzInfo 'America/Los_Angeles' PDT-1 day, 17:00:00 DST>)
# we are in Pacific Daylight Time PDT
# add 1 day to LA local date: DON'T DO THAT
d = d + datetime.timedelta(days=1)
>>> datetime.datetime(2016, 11, 6, 9, 43, 45,
tzinfo=<DstTzInfo 'America/Los_Angeles' PDT-1 day, 17:00:00 DST>)
# Daylight Saving is NOT respected, we are still in PDT time, not PST
Conclusion:
datetime.timedelta() DOES NOT account for daylight saving.
Do your time add/subtract in UTC timezone ALWAYS.
Cast to local time only for output / display.
The pytz website says:
Unfortunately using the tzinfo argument of the standard datetime
constructors ‘’does not work’’ with pytz for many timezones.
So you should not use datetime.now(la). I don't know the specifics, but some timezones operate on more exotic rules then we are used to, and python's datetime code can't handle them. By using pytz's code, they should be handled correctly since that's pytz's purpose. It may also have issues for the times that occur twice thanks to jumping times in daylight savings.
As for the second question, that's exactly what the documentation shows, so you should be good.
What I need to do
I have a timezone-unaware datetime object, to which I need to add a time zone in order to be able to compare it with other timezone-aware datetime objects. I do not want to convert my entire application to timezone unaware for this one legacy case.
What I've Tried
First, to demonstrate the problem:
Python 2.6.1 (r261:67515, Jun 24 2010, 21:47:49)
[GCC 4.2.1 (Apple Inc. build 5646)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import datetime
>>> import pytz
>>> unaware = datetime.datetime(2011,8,15,8,15,12,0)
>>> unaware
datetime.datetime(2011, 8, 15, 8, 15, 12)
>>> aware = datetime.datetime(2011,8,15,8,15,12,0,pytz.UTC)
>>> aware
datetime.datetime(2011, 8, 15, 8, 15, 12, tzinfo=<UTC>)
>>> aware == unaware
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: can't compare offset-naive and offset-aware datetimes
First, I tried astimezone:
>>> unaware.astimezone(pytz.UTC)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ValueError: astimezone() cannot be applied to a naive datetime
>>>
It's not terribly surprising this failed, since it's actually trying to do a conversion. Replace seemed like a better choice (as per How do I get a value of datetime.today() in Python that is "timezone aware"?):
>>> unaware.replace(tzinfo=pytz.UTC)
datetime.datetime(2011, 8, 15, 8, 15, 12, tzinfo=<UTC>)
>>> unaware == aware
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: can't compare offset-naive and offset-aware datetimes
>>>
But as you can see, replace seems to set the tzinfo, but not make the object aware. I'm getting ready to fall back to doctoring the input string to have a timezone before parsing it (I'm using dateutil for parsing, if that matters), but that seems incredibly kludgy.
Also, I've tried this in both Python 2.6 and Python 2.7, with the same results.
Context
I am writing a parser for some data files. There is an old format I need to support where the date string does not have a timezone indicator. I've already fixed the data source, but I still need to support the legacy data format. A one time conversion of the legacy data is not an option for various business BS reasons. While in general, I do not like the idea of hard-coding a default timezone, in this case it seems like the best option. I know with reasonable confidence that all the legacy data in question is in UTC, so I'm prepared to accept the risk of defaulting to that in this case.
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.)
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()
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)
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())
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
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>)
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.
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.
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"))
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)
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())
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
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')
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
Above all mentioned approaches, when it is a Unix timestamp, there 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')