pandas.arrays.IntervalArray.overlaps — pandas 0.25.3 documentation (original) (raw)
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: | other : Interval 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])