- IntervalIndex.overlaps(*args, **kwargs)¶
Check elementwise if an Interval overlaps the values in the IntervalArray.
Two intervals overlap if they share a common point, including inclusive endpoints. Intervals that only have an open endpoint in common do not overlap.
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, "right") >>> intervals <IntervalArray> [(0, 1], (1, 3], (2, 4]] Length: 3, dtype: interval[int64, right]
>>> intervals.overlaps(pd.Interval(0.5, 1.5)) array([ True, True, False])
Intervals that share inclusive endpoints overlap:
>>> intervals.overlaps(pd.Interval(1, 3, inclusive='left')) array([ True, True, True])
Intervals that only have an open endpoint in common do not overlap:
>>> intervals.overlaps(pd.Interval(1, 2, inclusive='right')) array([False, True, False])