pandas.IntervalIndex.is_overlapping¶

property IntervalIndex.is_overlapping: bool¶

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

pandas.IntervalIndex.is_non_overlapping_monotonic pandas.IntervalIndex.values