traffic.core.intervals
- class traffic.core.intervals.IntervalCollection(data=None, *other, start=None, stop=None)
Bases:
DataFrameMixin
A class to represent collections of Intervals.
An
Interval
consists of a start and stop attributes. Collections of intervals are stored as aDataFrame
.Intervals can be created using one of the following syntaxes:
>>> sample_dates = pd.date_range("2023-01-01", "2023-02-01", freq="1D") >>> t0, t1, t2, t3, *_ = sample_dates
as a list of
Interval
:>>> IntervalCollection([Interval(t0, t1), Interval(t2, t3)]) [[2023-01-01 00:00:00, 2023-01-02 00:00:00], ...]
as an expanded tuple of
Interval
:>>> IntervalCollection(Interval(t0, t1), Interval(t2, t3)) [[2023-01-01 00:00:00, 2023-01-02 00:00:00], ...]
a list of start and stop values:
>>> IntervalCollection([t0, t2], [t1, t3]) [[2023-01-01 00:00:00, 2023-01-02 00:00:00], ...]
as a
DataFrame
:>>> df = pd.DataFrame({'start': [t0, t2], 'stop': [t1, t3]}) >>> IntervalCollection(df) [[2023-01-01 00:00:00, 2023-01-02 00:00:00], ...]
- consolidate()
Consolidate the IntervalCollection.
- Return type:
>>> sample_dates = pd.date_range("2023-01-01", "2023-02-01", freq="1D") >>> t0, t1, t2, t3, *_ = sample_dates >>> interval = IntervalCollection([Interval(t0, t2), Interval(t1, t3)]) >>> interval [[2023-01-01 ..., 2023-01-03 ...], [2023-01-02 ..., 2023-01-04 ...]] >>> interval.consolidate() [[2023-01-01 ..., 2023-01-04 ...]]
- intersection(other)
Returns the result of an intersection of intervals.
- Parameters:
other (
Interval
|IntervalCollection
) – the second interval or collection of intervals- Return type:
- Returns:
may be None if the intersection is empty
Note
The binary operator & is equivalent to this method.
- union(other)
Returns the result of an union of intervals.
- Parameters:
other (
IntervalCollection
) – the second interval or collection of intervals- Return type:
Note
The binary operator | is equivalent to this method.