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.
Interval to check against for an overlap.
Boolean array positionally indicating where an overlap occurs.
Check whether two Interval objects overlap.
>>> 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])