DateTimeRange 1.2.0

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.

DateTimeRange

• Summary
• 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 intersect the time range
  • Make an intersected time range
  • Make an encompassed time range
  • Truncate time range
  • For more information
• Installation
• Dependencies
• Documentation
• Sponsors

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.

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("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 intersect 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 is also available at DateTimeRange.ipynb

Installation

pip install DateTimeRange

Dependencies

• Python 3.6+
• Python package dependencies (automatically installed)

Documentation

https://datetimerange.rtfd.io/

Sponsors

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