Time ranges with python

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Data Analysistimeranges
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timeranges

Time ranges.

Read the Docs

Installation

pip

timeranges is available on pip:

pip install timeranges

GitHub

You can also install the latest version of the code directly from GitHub:

pip install git+git://github.com/MicaelJarniac/timeranges

Usage

For more examples, see the full documentation.

10:00" time_range = TimeRange(time(0), time(10)) # Check if these times are contained in `time_range` assert time(0) in time_range assert time(5) in time_range assert time(10) in time_range # Check if these times aren't contained in `time_range` assert time(10, 0, 1) not in time_range assert time(11) not in time_range assert time(20) not in time_range time_range_2 = TimeRange(time(15), time(20)) time_ranges = TimeRanges([time_range, time_range_2]) assert time(0) in time_ranges assert time(5) in time_ranges assert time(10) in time_ranges assert time(12) not in time_ranges assert time(15) in time_ranges assert time(17) in time_ranges assert time(20) in time_ranges assert time(22) not in time_ranges "> 
from datetime import time

from timeranges import TimeRange, TimeRanges, WeekRange, Weekday


# Create a `TimeRange` instance with the interval "0:00 -> 10:00"
time_range = TimeRange(time(0), time(10))

# Check if these times are contained in `time_range`
assert time(0) in time_range
assert time(5) in time_range
assert time(10) in time_range

# Check if these times aren't contained in `time_range`
assert time(10, 0, 1) not in time_range
assert time(11) not in time_range
assert time(20) not in time_range


time_range_2 = TimeRange(time(15), time(20))
time_ranges = TimeRanges([time_range, time_range_2])

assert time(0) in time_ranges
assert time(5) in time_ranges
assert time(10) in time_ranges
assert time(12) not in time_ranges
assert time(15) in time_ranges
assert time(17) in time_ranges
assert time(20) in time_ranges
assert time(22) not in time_ranges

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

More details can be found in CONTRIBUTING.

Contributors āœØ

License

MIT

Created from cookiecutter-python-project.

Comments
  • fix: proper handling with empty structures

    fix: proper handling with empty structures

    As presented in https://github.com/tractian/tractian-python-sdk/issues/30#issuecomment-993901186,

    • empty dictionary in day_ranges means all days, with this, any datetime should return True in __contains__
    • empty list in time_ranges means all hours, with this, any datetime at the same weekday should return True in __contains__ The actual PR is a suggestion to this behavior works, which is not working properly.

    Examples of misleading behavior:

    • Datetime in a weekday with empty list as time_ranges image
    • Datetime not in a empty dict as day_ranges image
    opened by lucascust2 1
  • docs: add MicaelJarniac as a contributor for bug, code, doc, example, ideas, maintenance, projectManagement, review, tool, test

    docs: add MicaelJarniac as a contributor for bug, code, doc, example, ideas, maintenance, projectManagement, review, tool, test

    Add @MicaelJarniac as a contributor for bug, code, doc, example, ideas, maintenance, projectManagement, review, tool, test.

    This was requested by MicaelJarniac in this comment

    opened by allcontributors[bot] 0
  • Fix public API

    Fix public API

    On VS Code, if I type

    from timeranges import

    it doesn't auto-complete.

    Something about the way I'm "exporting" the public items on __init__.py isn't quite right.

    bug 
    opened by MicaelJarniac 0
  • Create a method for getting a fully-filled object

    Create a method for getting a fully-filled object

    Something like TimeRanges.full() that'd return TimeRanges([TimeRange()]), and WeekRange.full() that'd return WeekRange({Weekday.MONDAY: TimeRanges.full(), ...}) (with all days of the week).

    enhancement 
    opened by MicaelJarniac 0
  • Make `TimeRanges` and `WeekRange` behave more like native collections

    Make `TimeRanges` and `WeekRange` behave more like native collections

    TimeRanges could behave like a list, and WeekRange like a dict.

    https://docs.python.org/3/reference/datamodel.html#emulating-container-types

    • [ ] __bool__
    enhancement 
    opened by MicaelJarniac 1
  • Compare multiple times at once

    Compare multiple times at once 

    assert (time(...), time(...)) in TimeRange(...)
assert (time(...), time(...)) in TimeRanges(...)
assert (datetime(...), datetime(...)) in WeekRange(...)
    enhancement 
    opened by MicaelJarniac 0
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