|Author:||Stuart Bishop <email@example.com>|
pytz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.4 or higher. It also solves the issue of ambiguous times at the end of daylight saving time, which you can read more about in the Python Library Reference (datetime.tzinfo).
Almost all of the Olson timezones are supported.
This library differs from the documented Python API for tzinfo implementations; if you want to create local wallclock times you need to use the localize() method documented in this document. In addition, if you perform date arithmetic on local times that cross DST boundaries, the result may be in an incorrect timezone (ie. subtract 1 minute from 2002-10-27 1:00 EST and you get 2002-10-27 0:59 EST instead of the correct 2002-10-27 1:59 EDT). A normalize() method is provided to correct this. Unfortunately these issues cannot be resolved without modifying the Python datetime implementation (see PEP-431).
This package can either be installed from a .egg file using setuptools, or from the tarball using the standard Python distutils.
If you are installing from a tarball, run the following command as an administrative user:
python setup.py install
If you are installing using setuptools, you don’t even need to download anything as the latest version will be downloaded for you from the Python package index:
easy_install --upgrade pytz
If you already have the .egg file, you can use that too:
>>> from datetime import datetime, timedelta >>> from pytz import timezone >>> import pytz >>> utc = pytz.utc >>> utc.zone 'UTC' >>> eastern = timezone('US/Eastern') >>> eastern.zone 'US/Eastern' >>> amsterdam = timezone('Europe/Amsterdam') >>> fmt = '%Y-%m-%d %H:%M:%S %Z%z'
This library only supports two ways of building a localized time. The first is to use the localize() method provided by the pytz library. This is used to localize a naive datetime (datetime with no timezone information):
>>> loc_dt = eastern.localize(datetime(2002, 10, 27, 6, 0, 0)) >>> print(loc_dt.strftime(fmt)) 2002-10-27 06:00:00 EST-0500
The second way of building a localized time is by converting an existing localized time using the standard astimezone() method:
>>> ams_dt = loc_dt.astimezone(amsterdam) >>> ams_dt.strftime(fmt) '2002-10-27 12:00:00 CET+0100'
Unfortunately using the tzinfo argument of the standard datetime constructors ‘’does not work’’ with pytz for many timezones.
>>> datetime(2002, 10, 27, 12, 0, 0, tzinfo=amsterdam).strftime(fmt) '2002-10-27 12:00:00 AMT+0020'
It is safe for timezones without daylight saving transitions though, such as UTC:
>>> datetime(2002, 10, 27, 12, 0, 0, tzinfo=pytz.utc).strftime(fmt) '2002-10-27 12:00:00 UTC+0000'
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.
>>> utc_dt = datetime(2002, 10, 27, 6, 0, 0, tzinfo=utc) >>> loc_dt = utc_dt.astimezone(eastern) >>> loc_dt.strftime(fmt) '2002-10-27 01:00:00 EST-0500'
This library also allows you to do date arithmetic using local times, although it is more complicated than working in UTC as you need to use the normalize() method to handle daylight saving time and other timezone transitions. In this example, loc_dt is set to the instant when daylight saving time ends in the US/Eastern timezone.
>>> before = loc_dt - timedelta(minutes=10) >>> before.strftime(fmt) '2002-10-27 00:50:00 EST-0500' >>> eastern.normalize(before).strftime(fmt) '2002-10-27 01:50:00 EDT-0400' >>> after = eastern.normalize(before + timedelta(minutes=20)) >>> after.strftime(fmt) '2002-10-27 01:10:00 EST-0500'
Creating local times is also tricky, and the reason why working with local times is not recommended. Unfortunately, you cannot just pass a tzinfo argument when constructing a datetime (see the next section for more details)
>>> dt = datetime(2002, 10, 27, 1, 30, 0) >>> dt1 = eastern.localize(dt, is_dst=True) >>> dt1.strftime(fmt) '2002-10-27 01:30:00 EDT-0400' >>> dt2 = eastern.localize(dt, is_dst=False) >>> dt2.strftime(fmt) '2002-10-27 01:30:00 EST-0500'
Converting between timezones also needs special attention. We also need to use the normalize() method to ensure the conversion is correct.
>>> utc_dt = utc.localize(datetime.utcfromtimestamp(1143408899)) >>> utc_dt.strftime(fmt) '2006-03-26 21:34:59 UTC+0000' >>> au_tz = timezone('Australia/Sydney') >>> au_dt = au_tz.normalize(utc_dt.astimezone(au_tz)) >>> au_dt.strftime(fmt) '2006-03-27 08:34:59 EST+1100' >>> utc_dt2 = utc.normalize(au_dt.astimezone(utc)) >>> utc_dt2.strftime(fmt) '2006-03-26 21:34:59 UTC+0000'
You can take shortcuts when dealing with the UTC side of timezone conversions. normalize() and localize() are not really necessary when there are no daylight saving time transitions to deal with.
>>> utc_dt = datetime.utcfromtimestamp(1143408899).replace(tzinfo=utc) >>> utc_dt.strftime(fmt) '2006-03-26 21:34:59 UTC+0000' >>> au_tz = timezone('Australia/Sydney') >>> au_dt = au_tz.normalize(utc_dt.astimezone(au_tz)) >>> au_dt.strftime(fmt) '2006-03-27 08:34:59 EST+1100' >>> utc_dt2 = au_dt.astimezone(utc) >>> utc_dt2.strftime(fmt) '2006-03-26 21:34:59 UTC+0000'
The tzinfo instances returned by the timezone() function have been extended to cope with ambiguous times by adding an is_dst parameter to the utcoffset(), dst() && tzname() methods.
>>> tz = timezone('America/St_Johns')
>>> normal = datetime(2009, 9, 1) >>> ambiguous = datetime(2009, 10, 31, 23, 30)
The is_dst parameter is ignored for most timestamps. It is only used during DST transition ambiguous periods to resulve that ambiguity.
>>> tz.utcoffset(normal, is_dst=True) datetime.timedelta(-1, 77400) >>> tz.dst(normal, is_dst=True) datetime.timedelta(0, 3600) >>> tz.tzname(normal, is_dst=True) 'NDT'
>>> tz.utcoffset(ambiguous, is_dst=True) datetime.timedelta(-1, 77400) >>> tz.dst(ambiguous, is_dst=True) datetime.timedelta(0, 3600) >>> tz.tzname(ambiguous, is_dst=True) 'NDT'
>>> tz.utcoffset(normal, is_dst=False) datetime.timedelta(-1, 77400) >>> tz.dst(normal, is_dst=False) datetime.timedelta(0, 3600) >>> tz.tzname(normal, is_dst=False) 'NDT'
>>> tz.utcoffset(ambiguous, is_dst=False) datetime.timedelta(-1, 73800) >>> tz.dst(ambiguous, is_dst=False) datetime.timedelta(0) >>> tz.tzname(ambiguous, is_dst=False) 'NST'
If is_dst is not specified, ambiguous timestamps will raise an pytz.exceptions.AmbiguousTimeError exception.
>>> tz.utcoffset(normal) datetime.timedelta(-1, 77400) >>> tz.dst(normal) datetime.timedelta(0, 3600) >>> tz.tzname(normal) 'NDT'
>>> import pytz.exceptions >>> try: ... tz.utcoffset(ambiguous) ... except pytz.exceptions.AmbiguousTimeError: ... print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous) pytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00 >>> try: ... tz.dst(ambiguous) ... except pytz.exceptions.AmbiguousTimeError: ... print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous) pytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00 >>> try: ... tz.tzname(ambiguous) ... except pytz.exceptions.AmbiguousTimeError: ... print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous) pytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00
The major problem we have to deal with is that certain datetimes may occur twice in a year. For example, in the US/Eastern timezone on the last Sunday morning in October, the following sequence happens:
- 01:00 EDT occurs
- 1 hour later, instead of 2:00am the clock is turned back 1 hour and 01:00 happens again (this time 01:00 EST)
In fact, every instant between 01:00 and 02:00 occurs twice. This means that if you try and create a time in the ‘US/Eastern’ timezone using the standard datetime syntax, there is no way to specify if you meant before of after the end-of-daylight-saving-time transition.
>>> loc_dt = datetime(2002, 10, 27, 1, 30, 00, tzinfo=eastern) >>> loc_dt.strftime(fmt) '2002-10-27 01:30:00 EST-0500'
As you can see, the system has chosen one for you and there is a 50% chance of it being out by one hour. For some applications, this does not matter. However, if you are trying to schedule meetings with people in different timezones or analyze log files it is not acceptable.
The best and simplest solution is to stick with using UTC. The pytz package encourages using UTC for internal timezone representation by including a special UTC implementation based on the standard Python reference implementation in the Python documentation.
The UTC timezone unpickles to be the same instance, and pickles to a smaller size than other pytz tzinfo instances. The UTC implementation can be obtained as pytz.utc, pytz.UTC, or pytz.timezone(‘UTC’).
>>> import pickle, pytz >>> dt = datetime(2005, 3, 1, 14, 13, 21, tzinfo=utc) >>> naive = dt.replace(tzinfo=None) >>> p = pickle.dumps(dt, 1) >>> naive_p = pickle.dumps(naive, 1) >>> len(p) - len(naive_p) 17 >>> new = pickle.loads(p) >>> new == dt True >>> new is dt False >>> new.tzinfo is dt.tzinfo True >>> pytz.utc is pytz.UTC is pytz.timezone('UTC') True
Note that some other timezones are commonly thought of as the same (GMT, Greenwich, Universal, etc.). The definition of UTC is distinct from these other timezones, and they are not equivalent. For this reason, they will not compare the same in Python.
>>> utc == pytz.timezone('GMT') False
See the section What is UTC, below.
If you insist on working with local times, this library provides a facility for constructing them unambiguously:
>>> loc_dt = datetime(2002, 10, 27, 1, 30, 00) >>> est_dt = eastern.localize(loc_dt, is_dst=True) >>> edt_dt = eastern.localize(loc_dt, is_dst=False) >>> print(est_dt.strftime(fmt) + ' / ' + edt_dt.strftime(fmt)) 2002-10-27 01:30:00 EDT-0400 / 2002-10-27 01:30:00 EST-0500
If you pass None as the is_dst flag to localize(), pytz will refuse to guess and raise exceptions if you try to build ambiguous or non-existent times.
For example, 1:30am on 27th Oct 2002 happened twice in the US/Eastern timezone when the clocks where put back at the end of Daylight Saving Time:
>>> dt = datetime(2002, 10, 27, 1, 30, 00) >>> try: ... eastern.localize(dt, is_dst=None) ... except pytz.exceptions.AmbiguousTimeError: ... print('pytz.exceptions.AmbiguousTimeError: %s' % dt) pytz.exceptions.AmbiguousTimeError: 2002-10-27 01:30:00
Similarly, 2:30am on 7th April 2002 never happened at all in the US/Eastern timezone, as the clocks where put forward at 2:00am skipping the entire hour:
>>> dt = datetime(2002, 4, 7, 2, 30, 00) >>> try: ... eastern.localize(dt, is_dst=None) ... except pytz.exceptions.NonExistentTimeError: ... print('pytz.exceptions.NonExistentTimeError: %s' % dt) pytz.exceptions.NonExistentTimeError: 2002-04-07 02:30:00
Both of these exceptions share a common base class to make error handling easier:
>>> isinstance(pytz.AmbiguousTimeError(), pytz.InvalidTimeError) True >>> isinstance(pytz.NonExistentTimeError(), pytz.InvalidTimeError) True
Although localize() handles many cases, it is still not possible to handle all. In cases where countries change their timezone definitions, cases like the end-of-daylight-saving-time occur with no way of resolving the ambiguity. For example, in 1915 Warsaw switched from Warsaw time to Central European time. So at the stroke of midnight on August 5th 1915 the clocks were wound back 24 minutes creating an ambiguous time period that cannot be specified without referring to the timezone abbreviation or the actual UTC offset. In this case midnight happened twice, neither time during a daylight saving time period:
>>> warsaw = pytz.timezone('Europe/Warsaw') >>> loc_dt1 = warsaw.localize(datetime(1915, 8, 4, 23, 59, 59), is_dst=False) >>> loc_dt1.strftime(fmt) '1915-08-04 23:59:59 WMT+0124' >>> loc_dt2 = warsaw.localize(datetime(1915, 8, 5, 00, 00, 00), is_dst=False) >>> loc_dt2.strftime(fmt) '1915-08-05 00:00:00 CET+0100' >>> str(loc_dt2 - loc_dt1) '0:24:01'
The only way of creating a time during the missing 24 minutes is converting from another timezone - because neither of the timezones involved where in daylight saving mode the API simply provides no way to express it:
>>> utc_dt = datetime(1915, 8, 4, 22, 36, tzinfo=pytz.utc) >>> utc_dt.astimezone(warsaw).strftime(fmt) '1915-08-04 23:36:00 CET+0100'
The standard Python way of handling all these ambiguities is not to handle them, such as demonstrated in this example using the US/Eastern timezone definition from the Python documentation (Note that this implementation only works for dates between 1987 and 2006 - it is included for tests only!):
>>> from pytz.reference import Eastern # pytz.reference only for tests >>> dt = datetime(2002, 10, 27, 0, 30, tzinfo=Eastern) >>> str(dt) '2002-10-27 00:30:00-04:00' >>> str(dt + timedelta(hours=1)) '2002-10-27 01:30:00-05:00' >>> str(dt + timedelta(hours=2)) '2002-10-27 02:30:00-05:00' >>> str(dt + timedelta(hours=3)) '2002-10-27 03:30:00-05:00'
Notice the first two results? At first glance you might think they are correct, but taking the UTC offset into account you find that they are actually two hours appart instead of the 1 hour we asked for.
>>> from pytz.reference import UTC # pytz.reference only for tests >>> str(dt.astimezone(UTC)) '2002-10-27 04:30:00+00:00' >>> str((dt + timedelta(hours=1)).astimezone(UTC)) '2002-10-27 06:30:00+00:00'
A mechanism is provided to access the timezones commonly in use for a particular country, looked up using the ISO 3166 country code. It returns a list of strings that can be used to retrieve the relevant tzinfo instance using pytz.timezone():
>>> print(' '.join(pytz.country_timezones['nz'])) Pacific/Auckland Pacific/Chatham
The Olson database comes with a ISO 3166 country code to English country name mapping that pytz exposes as a dictionary:
>>> print(pytz.country_names['nz']) New Zealand
‘UTC’ is Coordinated Universal Time. It is a successor to, but distinct from, Greenwich Mean Time (GMT) and the various definitions of Universal Time. UTC is now the worldwide standard for regulating clocks and time measurement.
All other timezones are defined relative to UTC, and include offsets like UTC+0800 — hours to add or subtract from UTC to derive the local time. No daylight saving time occurs in UTC, making it a useful timezone to perform date arithmetic without worrying about the confusion and ambiguities caused by daylight saving time transitions, your country changing its timezone, or mobile computers that roam through multiple timezones.
There are two lists of timezones provided.
all_timezones is the exhaustive list of the timezone names that can be used.
>>> from pytz import all_timezones >>> len(all_timezones) >= 500 True >>> 'Etc/Greenwich' in all_timezones True
common_timezones is a list of useful, current timezones. It doesn’t contain deprecated zones or historical zones, except for a few I’ve deemed in common usage, such as US/Eastern (open a bug report if you think other timezones are deserving of being included here). It is also a sequence of strings.
>>> from pytz import common_timezones >>> len(common_timezones) < len(all_timezones) True >>> 'Etc/Greenwich' in common_timezones False >>> 'Australia/Melbourne' in common_timezones True >>> 'US/Eastern' in common_timezones True >>> 'Canada/Eastern' in common_timezones True >>> 'US/Pacific-New' in all_timezones True >>> 'US/Pacific-New' in common_timezones False
Both common_timezones and all_timezones are alphabetically sorted:
>>> common_timezones_dupe = common_timezones[:] >>> common_timezones_dupe.sort() >>> common_timezones == common_timezones_dupe True >>> all_timezones_dupe = all_timezones[:] >>> all_timezones_dupe.sort() >>> all_timezones == all_timezones_dupe True
all_timezones and common_timezones are also available as sets.
>>> from pytz import all_timezones_set, common_timezones_set >>> 'US/Eastern' in all_timezones_set True >>> 'US/Eastern' in common_timezones_set True >>> 'Australia/Victoria' in common_timezones_set False
You can also retrieve lists of timezones used by particular countries using the country_timezones() function. It requires an ISO-3166 two letter country code.
>>> from pytz import country_timezones >>> print(' '.join(country_timezones('ch'))) Europe/Zurich >>> print(' '.join(country_timezones('CH'))) Europe/Zurich
This code is also available as part of Zope 3 under the Zope Public License, Version 2.1 (ZPL).
I’m happy to relicense this code if necessary for inclusion in other open source projects.
This package will be updated after releases of the Olson timezone database. The latest version can be downloaded from the Python Package Index. The code that is used to generate this distribution is hosted on launchpad.net and available using the Bazaar version control system using:
bzr branch lp:pytz
More info than you want to know about timezones: http://www.twinsun.com/tz/tz-link.htm