Metadata-Version: 2.1
Name: DateTimeRange
Version: 0.6.1
Summary: DateTimeRange is a Python library to handle a time range. e.g. check whether a time is within the time range, get the intersection of time ranges, truncating a time range, iterate through a time range, and so forth.
Home-page: https://github.com/thombashi/DateTimeRange
Author: Tsuyoshi Hombashi
Author-email: tsuyoshi.hombashi@gmail.com
License: MIT License
Project-URL: Documentation, https://datetimerange.rtfd.io/
Project-URL: Source, https://github.com/thombashi/DateTimeRange
Project-URL: Tracker, https://github.com/thombashi/DateTimeRange/issues
Keywords: datetimerange,datetime,time range
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*
Provides-Extra: build
Provides-Extra: docs
Provides-Extra: release
Provides-Extra: test
License-File: LICENSE

.. contents:: **DateTimeRange**
   :backlinks: top
   :depth: 2

Summary
=========
`DateTimeRange <https://github.com/thombashi/DateTimeRange>`__ is a Python library to handle a time range. e.g. check whether a time is within the time range, get the intersection of time ranges, truncating a time range, iterate through a time range, and so forth.

.. image:: https://badge.fury.io/py/DateTimeRange.svg
    :target: https://badge.fury.io/py/DateTimeRange
    :alt: PyPI package version

.. image:: https://img.shields.io/pypi/pyversions/DateTimeRange.svg
    :target: https://pypi.org/project/DateTimeRange
    :alt: Supported Python versions

.. image:: https://img.shields.io/travis/thombashi/DateTimeRange/master.svg?label=Linux/macOS%20CI
    :target: https://travis-ci.org/thombashi/DateTimeRange
    :alt: Linux/macOS CI status

.. image:: https://img.shields.io/appveyor/ci/thombashi/datetimerange/master.svg?label=Windows%20CI
    :target: https://ci.appveyor.com/project/thombashi/datetimerange/branch/master
    :alt: Windows CI status

.. image:: https://coveralls.io/repos/github/thombashi/DateTimeRange/badge.svg?branch=master
    :target: https://coveralls.io/github/thombashi/DateTimeRange?branch=master
    :alt: Test coverage

.. image:: https://img.shields.io/github/stars/thombashi/DateTimeRange.svg?style=social&label=Star
    :target: https://github.com/thombashi/DateTimeRange
    :alt: GitHub stars

Examples
==========
Create and convert to string
----------------------------
:Sample Code:
    .. code:: python

        from datetimerange import DateTimeRange
        time_range = DateTimeRange("2015-03-22T10:00:00+0900", "2015-03-22T10:10:00+0900")
        str(time_range)

:Output:
    ::

        '2015-03-22T10:00:00+0900 - 2015-03-22T10:10:00+0900'

Get iterator
------------
:Sample Code 1:
    .. code:: python

        import datetime
        from datetimerange import DateTimeRange

        time_range = DateTimeRange("2015-01-01T00:00:00+0900", "2015-01-04T00:00:00+0900")
        for value in time_range.range(datetime.timedelta(days=1)):
            print value

:Output 1:
    ::

        2015-01-01 00:00:00+09:00
        2015-01-02 00:00:00+09:00
        2015-01-03 00:00:00+09:00
        2015-01-04 00:00:00+09:00

:Sample Code 2:
    .. code:: python

        from datetimerange import DateTimeRange
        from dateutil.relativedelta import relativedelta

        time_range = DateTimeRange("2015-01-01T00:00:00+0900", "2016-01-01T00:00:00+0900")
        for value in time_range.range(relativedelta(months=+4)):
            print value

:Output 2:
    ::

        2015-01-01 00:00:00+09:00
        2015-05-01 00:00:00+09:00
        2015-09-01 00:00:00+09:00
        2016-01-01 00:00:00+09:00

Test whether a value within the time range
------------------------------------------
:Sample Code:
    .. code:: python

        from datetimerange import DateTimeRange

        time_range = DateTimeRange("2015-03-22T10:00:00+0900", "2015-03-22T10:10:00+0900")
        print("2015-03-22T10:05:00+0900" in time_range)
        print("2015-03-22T10:15:00+0900" in time_range)

        time_range_smaller = DateTimeRange("2015-03-22T10:03:00+0900", "2015-03-22T10:07:00+0900")
        print(time_range_smaller in time_range)

:Output:
    ::

        True
        False
        True

Test whether a value intersect the time range
---------------------------------------------
:Sample Code:
    .. code:: python

        from datetimerange import DateTimeRange
        time_range = DateTimeRange("2015-03-22T10:00:00+0900", "2015-03-22T10:10:00+0900")
        x = DateTimeRange("2015-03-22T10:05:00+0900", "2015-03-22T10:15:00+0900")
        time_range.is_intersection(x)

:Output:
    ::

        True

Make an intersected time range
------------------------------
:Sample Code:
    .. code:: python

        from datetimerange import DateTimeRange
        time_range = DateTimeRange("2015-03-22T10:00:00+0900", "2015-03-22T10:10:00+0900")
        x = DateTimeRange("2015-03-22T10:05:00+0900", "2015-03-22T10:15:00+0900")
        time_range.intersection(x)

:Output:
    ::

        2015-03-22T10:05:00+0900 - 2015-03-22T10:10:00+0900

Make an encompassed time range
------------------------------
:Sample Code:
    .. code:: python

        from datetimerange import DateTimeRange
        time_range = DateTimeRange("2015-03-22T10:00:00+0900", "2015-03-22T10:10:00+0900")
        x = DateTimeRange("2015-03-22T10:05:00+0900", "2015-03-22T10:15:00+0900")
        time_range.encompass(x)

:Output:
    ::

        2015-03-22T10:00:00+0900 - 2015-03-22T10:15:00+0900

Truncate time range
-------------------
:Sample Code:
    .. code:: python

        from datetimerange import DateTimeRange

        time_range = DateTimeRange("2015-03-22T10:00:00+0900", "2015-03-22T10:10:00+0900")
        time_range.is_output_elapse = True
        print("before truncate: ", time_range)

        time_range.truncate(10)
        print("after truncate:  ", time_range)

:Output:
    ::

        before truncate:  2015-03-22T10:00:00+0900 - 2015-03-22T10:10:00+0900 (0:10:00)
        after truncate:   2015-03-22T10:00:30+0900 - 2015-03-22T10:09:30+0900 (0:09:00)

For more information
----------------------
More examples are available at 
https://datetimerange.rtfd.io/en/latest/pages/examples/index.html

Examples with Jupyter Notebook is also available at `DateTimeRange.ipynb <https://nbviewer.jupyter.org/github/thombashi/DateTimeRange/tree/master/examples/DateTimeRange.ipynb>`__

Installation
============

::

    pip install DateTimeRange


Dependencies
============
Python 2.7 or 3.5+

- `python-dateutil <https://pypi.org/project/python-dateutil/>`__
- `typepy <https://github.com/thombashi/typepy>`__

Test dependencies
-----------------
- `pytest <https://docs.pytest.org/en/latest/>`__
- `pytest-runner <https://github.com/pytest-dev/pytest-runner>`__
- `tox <https://testrun.org/tox/latest/>`__

Documentation
===============
https://datetimerange.rtfd.io/



