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Arrow is a Python library that offers a sensible and human-friendly approach to creating, manipulating, formatting and converting dates, times and timestamps. It implements and updates the datetime type, plugging gaps in functionality and providing an intelligent module API that supports many common creation scenarios. Simply put, it helps you work with dates and times with fewer imports and a lot less code.
Arrow is named after the arrow of time <https://en.wikipedia.org/wiki/Arrow_of_time>
_ and is heavily inspired by moment.js <https://github.com/moment/moment>
_ and requests <https://github.com/psf/requests>
_.
Python's standard library and some other low-level modules have near-complete date, time and timezone functionality, but don't work very well from a usability perspective:
shift
method with support for relative offsets, including weeksISO 8601 <https://en.wikipedia.org/wiki/ISO_8601>
_ standarddateutil
, pytz
, and ZoneInfo
tzinfo objectsInstallation
To install Arrow, use `pip <https://pip.pypa.io/en/stable/quickstart/>`_ or `pipenv <https://docs.pipenv.org>`_:
.. code-block:: console
$ pip install -U arrow
Example Usage
.. code-block:: python
>>> import arrow
>>> arrow.get('2013-05-11T21:23:58.970460+07:00')
<Arrow [2013-05-11T21:23:58.970460+07:00]>
>>> utc = arrow.utcnow()
>>> utc
<Arrow [2013-05-11T21:23:58.970460+00:00]>
>>> utc = utc.shift(hours=-1)
>>> utc
<Arrow [2013-05-11T20:23:58.970460+00:00]>
>>> local = utc.to('US/Pacific')
>>> local
<Arrow [2013-05-11T13:23:58.970460-07:00]>
>>> local.timestamp()
1368303838.970460
>>> local.format()
'2013-05-11 13:23:58 -07:00'
>>> local.format('YYYY-MM-DD HH:mm:ss ZZ')
'2013-05-11 13:23:58 -07:00'
>>> local.humanize()
'an hour ago'
>>> local.humanize(locale='ko-kr')
'한시간 전'
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For full documentation, please visit arrow.readthedocs.io <https://arrow.readthedocs.io>
_.
Contributions are welcome for both code and localizations (adding and updating locales). Begin by gaining familiarity with the Arrow library and its features. Then, jump into contributing:
#. Find an issue or feature to tackle on the issue tracker <https://github.com/arrow-py/arrow/issues>
. Issues marked with the "good first issue" label <https://github.com/arrow-py/arrow/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22>
may be a great place to start!
#. Fork this repository <https://github.com/arrow-py/arrow>
_ on GitHub and begin making changes in a branch.
#. Add a few tests to ensure that the bug was fixed or the feature works as expected.
#. Run the entire test suite and linting checks by running one of the following commands: tox && tox -e lint,docs
(if you have tox <https://tox.readthedocs.io>
_ installed) OR make build39 && make test && make lint
(if you do not have Python 3.9 installed, replace build39
with the latest Python version on your system).
#. Submit a pull request and await feedback 😃.
If you have any questions along the way, feel free to ask them here <https://github.com/arrow-py/arrow/discussions>
_.
Open Collective <https://opencollective.com/>
_ is an online funding platform that provides tools to raise money and share your finances with full transparency. It is the platform of choice for individuals and companies to make one-time or recurring donations directly to the project. If you are interested in making a financial contribution, please visit the Arrow collective <https://opencollective.com/arrow>
_.
FAQs
Better dates & times for Python
We found that arrow demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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