pandas.IntervalIndex.is_overlapping¶

property
IntervalIndex.
is_overlapping
¶ Return True if the IntervalIndex has overlapping intervals, else False.
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.
 Returns
 bool
Boolean indicating if the IntervalIndex has overlapping intervals.
See also
Interval.overlaps
Check whether two Interval objects overlap.
IntervalIndex.overlaps
Check an IntervalIndex elementwise for overlaps.
Examples
>>> index = pd.IntervalIndex.from_tuples([(0, 2), (1, 3), (4, 5)]) >>> index IntervalIndex([(0, 2], (1, 3], (4, 5]], closed='right', dtype='interval[int64]') >>> index.is_overlapping True
Intervals that share closed endpoints overlap:
>>> index = pd.interval_range(0, 3, closed='both') >>> index IntervalIndex([[0, 1], [1, 2], [2, 3]], closed='both', dtype='interval[int64]') >>> index.is_overlapping True
Intervals that only have an open endpoint in common do not overlap:
>>> index = pd.interval_range(0, 3, closed='left') >>> index IntervalIndex([[0, 1), [1, 2), [2, 3)], closed='left', dtype='interval[int64]') >>> index.is_overlapping False