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.
Project description
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
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
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