IntervalIndex.overlaps(self, other)
[source]
Check elementwise if an Interval overlaps the values in the IntervalIndex.
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: |
|
---|---|
Returns: |
|
See also
Interval.overlaps
>>> intervals = pd.IntervalIndex.from_tuples([(0, 1), (1, 3), (2, 4)]) >>> intervals IntervalIndex([(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])
© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.25.0/reference/api/pandas.IntervalIndex.overlaps.html