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, truncate a time range, iterate through a time range, and so forth.

PyPI package version conda-forge package version Supported Python versions CI status of Linux/macOS/Windows Test coverage CodeQL

Installation

Installation: pip

pip install DateTimeRange

Installation: conda

conda install -c conda-forge datetimerange

Dependencies

Features

Features of DateTimeRange class include:

  • Supported operations:

    • Equation

    • Addition

    • Subtraction

    • Intersection

    • Union

    • Contains

    • Truncate

    • Split

    • Iteration

  • Timezone support

  • Daylight saving time support

Examples

Create a DateTimeRange instance from start and end datetime

Sample Code:
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'

Create a DateTimeRange instance from a range text

Sample Code:
from datetimerange import DateTimeRange
time_range = DateTimeRange.from_range_text("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 an iterator

Sample Code 1:
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:
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:
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 intersects the time range

Sample Code:
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:
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:
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:
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 are also available at DateTimeRange.ipynb

Documentation

https://datetimerange.rtfd.io/

Sponsors

ex-sponsor: Charles Becker (chasbecker) ex-sponsor: 時雨堂 (shiguredo) onetime: Dmitry Belyaev (b4tman) onetime: Arturi0 onetime: GitHub (github)

Become a sponsor

Project links

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Credits

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Author: Tsuyoshi Hombashi

GitHub Statistics

Data verified by PyPI on Nov 14, 2025
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License (MIT License)

Requires

Python >=3.9

Provides Extra

docs test

Tags

datetimerange datetime time range

Classifiers

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