Skip to main content
Author:

Stuart Bishop <stuart@stuartbishop.net>

Introduction

pytz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.3 or higher. It also solves the issue of ambiguous times at the end of daylight savings, which you can read more about in the Python Library Reference (datetime.tzinfo).

Amost all of the Olson timezones are supported.

Note that 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 results 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. Unfortunatly these issues cannot be resolved without modifying the Python datetime implementation.

Installation

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:

easy_install pytz-2008g-py2.6.egg

Example & Usage

>>> 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 savings trasitions 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 savings time and other timezone transitions. In this example, loc_dt is set to the instant when daylight savings 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 localtimes 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. This also needs 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 savings 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'

Problems with Localtime

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-savings-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. This timezone unpickles to be the same instance, and pickles to a relatively small size. 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), len(p) - len(naive_p)
(60, 43, 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 this instance is not the same instance (or implementation) as other timezones with the same meaning (GMT, Greenwich, Universal, etc.).

>>> utc is pytz.timezone('GMT')
False

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 Savings Time:

>>> eastern.localize(datetime(2002, 10, 27, 1, 30, 00), is_dst=None)
Traceback (most recent call last):
...
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 clock where put forward at 2:00am skipping the entire hour:

>>> eastern.localize(datetime(2002, 4, 7, 2, 30, 00), is_dst=None)
Traceback (most recent call last):
...
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-savings-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 savings 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 time - because neither of the timezones involved where in daylight savings 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, 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'

Country Information

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():

>>> 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:

>>> pytz.country_names['nz']
'New Zealand'

What is UTC

UTC is Universal Time, also known as Greenwich Mean Time or GMT in the United Kingdom. All other timezones are given as offsets from UTC. No daylight savings time occurs in UTC, making it a useful timezone to perform date arithmetic without worrying about the confusion and ambiguities caused by daylight savings time transitions, your country changing its timezone, or mobile computers that move roam through multiple timezones.

Helpers

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
>>> 'US/Eastern' in common_timezones
True
>>> 'Australia/Melbourne' 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() method. It requires an ISO-3166 two letter country code.

>>> from pytz import country_timezones
>>> country_timezones('ch')
['Europe/Zurich']
>>> country_timezones('CH')
['Europe/Zurich']

License

MIT license.

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.

Latest Versions

This package will be updated after releases of the Olson timezone database. The latest version can be downloaded from the Python Package Index (PyPI). The code that is used to generate this distribution is hosted on launchpad.net and available using the Bazaar revision control system using:

bzr branch lp:pytz

Bugs, Feature Requests & Patches

Bugs can be reported using Launchpad at https://bugs.launchpad.net/products/pytz

Issues & Limitations

  • Offsets from UTC are rounded to the nearest whole minute, so timezones such as Europe/Amsterdam pre 1937 will be up to 30 seconds out. This is a limitation of the Python datetime library.

  • If you think a timezone definition is incorrect, I probably can’t fix it. pytz is a direct translation of the Olson timezone database, and changes to the timezone definitions need to be made to this source. If you find errors they should be reported to the time zone mailing list, linked from http://www.twinsun.com/tz/tz-link.htm

Further Reading

More info than you want to know about timezones: http://www.twinsun.com/tz/tz-link.htm

Contact

Stuart Bishop <stuart@stuartbishop.net>

Release files for pytz 2009u

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distributions (sdists)

Source distribution for pytz 2009u
File Size Uploaded
pytz-2009u.zip 523.3 kB Details
pytz-2009u.tar.gz 254.7 kB Details
pytz-2009u.tar.bz2 176.1 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for pytz 2009u
File
pytz-2009u-py2.6.egg Legacy Egg format - - Details
pytz-2009u-py2.5.egg Legacy Egg format - - Details
pytz-2009u-py2.4.egg Legacy Egg format - - Details
pytz-2009u-py2.3.egg Legacy Egg format - - Details

Total release size: 3.5 MB

Release files / pytz-2009u.zip

Download URL pytz-2009u.zip
Size 523.3 kB
Tags Source
SHA-256 checksum
How to use checksums
0162bf6dce9987c98b5be20abdbc14dc4fa23eb76d04dd26f255b98d66990459
BLAKE2b-256 checksum
How to use checksums
7cd55cc1451347aea2f84b1f723cca8c17227ca558efa0b0e071be0df9c679bd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release files / pytz-2009u.tar.gz

Download URL pytz-2009u.tar.gz
Size 254.7 kB
Tags Source
SHA-256 checksum
How to use checksums
04236fb06ad5b9bd3c59aa61a21c69b567b6ac6995a7c1116b1b76f6c7aa5f07
BLAKE2b-256 checksum
How to use checksums
a8b0524e52f325f3d7775028adcf5c10c3ab2f02d3290d41f3af1572a8bf19eb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release files / pytz-2009u.tar.bz2

Download URL pytz-2009u.tar.bz2
Size 176.1 kB
Tags Source
SHA-256 checksum
How to use checksums
edce4fc8792f7e1841e88114685352eb5add8fd5aba54a51f4ebe4ca92544c09
BLAKE2b-256 checksum
How to use checksums
7b0a0f5abb08cde76c348bde3517795341de008ff5864a9025f7d8b26d12e447
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release files / pytz-2009u-py2.6.egg

Download URL pytz-2009u-py2.6.egg
Size 509.4 kB
Tags Egg
SHA-256 checksum
How to use checksums
a2f39c33bb4f5baa9be90d6baf2de68c2a5a0821721717a6405f6c910a5a9443
BLAKE2b-256 checksum
How to use checksums
dfb9c6dc924c332e18a75c73ee4aefcd817cb07a1493226b367ae56658642dd5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release files / pytz-2009u-py2.5.egg

Download URL pytz-2009u-py2.5.egg
Size 509.4 kB
Tags Egg
SHA-256 checksum
How to use checksums
08e66d237603c3f858cc48aa249a45ae79d552223c49f38fe8fbe42f7441f71b
BLAKE2b-256 checksum
How to use checksums
b5f4035cd7ce3c1278d195ce0b56dfca454a932d0279ba680d5358f1e12f5515
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release files / pytz-2009u-py2.4.egg

Download URL pytz-2009u-py2.4.egg
Size 509.8 kB
Tags Egg
SHA-256 checksum
How to use checksums
72c329db7b474ace9faabf494746243e019dbd9689a8535ae81ecddbf8392beb
BLAKE2b-256 checksum
How to use checksums
b132bd8dbd16716971eb0e7ea7fe81ceb4cd0c15b809001b41b3ffd6e9a010cf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release files / pytz-2009u-py2.3.egg

Download URL pytz-2009u-py2.3.egg
Size 1.0 MB
Tags Egg
SHA-256 checksum
How to use checksums
208ea8a6df71258ea986236be4e91b00845718bc2f7cf69e192758e56197a158
BLAKE2b-256 checksum
How to use checksums
321b21183b3ae4db44a109de84ea8ac89558ee945b572119b7e7fb328893ac47
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release history Release notifications | RSS feed

2026.4

2 release files

2026.3

2 release files

2025.2

2 release files

2025.1

2 release files

2024.2

2 release files

2023.4

2 release files

2023.3

2 release files

2023.2

2 release files

2022.7

2 release files

2022.6

2 release files

2022.5

2 release files

2022.2

2 release files

2022.1

2 release files

2020.5

2 release files

2020.1

2 release files

2019.2

2 release files

2019.1

2 release files

2018.7

2 release files

2018.6

2 release files

2018.5

2 release files

2018.4

2 release files

2017.3

9 release files

2017.2

9 release files

2014.3

8 release files

2014.2

6 release files

2014.1

3 release files

2009r

7 release files

2005r

3 release files

2012j

9 release files

2012h

8 release files

2012g

9 release files

2012f

9 release files

2012d

9 release files

2011n

9 release files

2011k

9 release files

2011j

9 release files

2011h

9 release files

2011g

9 release files

2011e

9 release files

2011d

9 release files

2010o

8 release files

2010l

7 release files

2010k

7 release files

2010h

7 release files

2010g

7 release files

2010e

7 release files

This release

2009u This release

7 release files

2009p

7 release files

2009n

7 release files

2009l

7 release files

2009j

7 release files

2009i

7 release files

2009g

7 release files

2009f

7 release files

2009e

7 release files

2009d

7 release files

2008i

7 release files

2008h

7 release files

2008g

7 release files

2007k

6 release files

2007i

6 release files

2007g

6 release files

2007f

6 release files

2007d

6 release files

2006p

5 release files

2006j

4 release files

2006g

4 release files

2005m

3 release files

2005k

3 release files

2005i

1 release file

2005e

1 release file

2004d

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page