pandas.arrays.IntervalArray.set_closed¶

IntervalArray.set_closed(closed)[source]¶

Return an IntervalArray identical to the current one, but closed on the specified side.

New in version 0.24.0.

Parameters

closed{‘left’, ‘right’, ‘both’, ‘neither’}: Whether the intervals are closed on the left-side, right-side, both or neither.

Returns

new_indexIntervalArray

Examples

>>> index = pd.arrays.IntervalArray.from_breaks(range(4))
>>> index
<IntervalArray>
[(0, 1], (1, 2], (2, 3]]
Length: 3, closed: right, dtype: interval[int64]
>>> index.set_closed('both')
<IntervalArray>
[[0, 1], [1, 2], [2, 3]]
Length: 3, closed: both, dtype: interval[int64]

pandas.arrays.IntervalArray.overlaps pandas.arrays.IntervalArray.to_tuples