pandas.arrays.IntervalArray.overlaps¶

IntervalArray.overlaps(other)[source]¶

Check elementwise if an Interval overlaps the values in the IntervalArray.

Two intervals overlap if they share a common point, including closed endpoints. Intervals that only have an open endpoint in common do not overlap.

New in version 0.24.0.

Parameters

otherIntervalArray: Interval to check against for an overlap.

Returns

ndarray: Boolean array positionally indicating where an overlap occurs.

See also

Interval.overlaps: Check whether two Interval objects overlap.

Examples

>>> data = [(0, 1), (1, 3), (2, 4)]
>>> intervals = pd.arrays.IntervalArray.from_tuples(data)
>>> intervals
<IntervalArray>
[(0, 1], (1, 3], (2, 4]]
Length: 3, closed: right, dtype: interval[int64]

>>> intervals.overlaps(pd.Interval(0.5, 1.5))
array([ True,  True, False])

Intervals that share closed endpoints overlap:

>>> intervals.overlaps(pd.Interval(1, 3, closed='left'))
array([ True,  True, True])

Intervals that only have an open endpoint in common do not overlap:

>>> intervals.overlaps(pd.Interval(1, 2, closed='right'))
array([False,  True, False])

pandas.arrays.IntervalArray.contains pandas.arrays.IntervalArray.set_closed