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Showing content from https://pandas.pydata.org/docs/reference/api/pandas.IntervalIndex.is_overlapping.html below:

pandas.IntervalIndex.is_overlapping — pandas 2.3.1 documentation

property IntervalIndex.is_overlapping[source]#

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.

Returns:

bool

Boolean indicating if the IntervalIndex has overlapping intervals.

Examples

>>> index = pd.IntervalIndex.from_tuples([(0, 2), (1, 3), (4, 5)])
>>> index
IntervalIndex([(0, 2], (1, 3], (4, 5]],
      dtype='interval[int64, right]')
>>> 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]],
      dtype='interval[int64, both]')
>>> 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)],
      dtype='interval[int64, left]')
>>> index.is_overlapping
False

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