pandas.IntervalIndex.is_overlapping

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
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