pandas.arrays.IntervalArray.overlaps

IntervalArray.overlaps(self, other)[source]

Check elementwise if an Interval overlaps the values in the IntervalArray.

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.

Parameters
otherInterval

Interval to check against for an overlap.

Returns
ndarray

Boolean array positionally indicating where an overlap occurs.

See also

Interval.overlaps

Check whether two Interval objects overlap.

Examples

>>> intervals = pd.arrays.IntervalArray.from_tuples([(0, 1), (1, 3), (2, 4)])
>>> intervals
IntervalArray([(0, 1], (1, 3], (2, 4]],
      closed='right',
      dtype='interval[int64]')
>>> intervals.overlaps(pd.Interval(0.5, 1.5))
array([ True,  True, False])

Intervals that share closed endpoints overlap:

>>> intervals.overlaps(pd.Interval(1, 3, closed='left'))
array([ True,  True, True])

Intervals that only have an open endpoint in common do not overlap:

>>> intervals.overlaps(pd.Interval(1, 2, closed='right'))
array([False,  True, False])
Scroll To Top