DateTimeRange 2.3.0

Creator: bradpython12

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Description:

DateTimeRange 2.3.0

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



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
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/


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License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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