DateTimeRange

v2.2.1

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. For more information about how to use this package see README

Latest version published 21 days ago

License: MIT

PyPI

GitHub

Package Health Score

76 / 100

security
No known security issues
popularity
Recognized
maintenance
Healthy
community
Sustainable

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33

Popularity

Recognized

GitHub Stars: 98
Forks: 17
Contributors: 5

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package DateTimeRange, we found that it has been starred 98 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Apr 7, 2024
Direct Vulnerabilities: 0
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0
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0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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1
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 2
Open PR: 1
Last Release: 21 days ago
Last Commit: 21 days ago

Further analysis of the maintenance status of DateTimeRange based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that DateTimeRange demonstrates a positive version release cadence with at least one new version released in the past 3 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 5
Funding: Yes

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.7

Age: 8 years
Latest Release: 21 days ago
Dependencies: 0 Direct
Versions: 37
Maintainers: 1
Wheels: OS Independent

Not sure how to use DateTimeRange?

To help you get started, we've collected the most common ways that DateTimeRange is being used within popular public projects.

thombashi / DateTimeRange / test / test_dtr.py View on Github

                DateTimeRange("2015-03-22T10:00:00+0900", "2015-03-22T10:10:00+0900"),
                DateTimeRange("2015-03-22T10:02:00+0900", "2015-03-22T10:10:00+0900"),
                False,
            ],
            [
                DateTimeRange("2015-03-22T10:00:00+0900", "2015-03-22T10:10:00+0900"),
                DateTimeRange("2015-03-22T11:00:00+0900", "2015-03-22T12:10:00+0900"),
                False,
            ],
            [DateTimeRange(TEST_START_DATETIME, TEST_END_DATETIME), None, False],
            [None, DateTimeRange(TEST_START_DATETIME, TEST_END_DATETIME), False],
        ],
    )
    def test_normal(self, lhs, rhs, expected):
        assert (lhs == rhs) == expected

View more ways to use DateTimeRange

DateTimeRange

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.

Installation

Installation: pip

pip install DateTimeRange

Installation: conda

conda install -c conda-forge datetimerange

Dependencies

Python 3.7+
Python package dependencies (automatically installed)

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

Examples with Jupyter Notebook are also available at DateTimeRange.ipynb

Package Health Score

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Direct Usage Popularity

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Not sure how to use DateTimeRange?

Summary

Installation

Installation: pip

Installation: conda

Dependencies

Features

Examples

Create a DateTimeRange instance from start and end datetime

Create a DateTimeRange instance from a range text

Get an iterator

Test whether a value within the time range

Test whether a value intersects the time range

Make an intersected time range

Make an encompassed time range

Truncate time range

For more information

Documentation

Sponsors

FAQs

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