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Showing content from https://pandas.pydata.org/docs/reference/api/pandas.arrays.IntervalArray.set_closed.html below:

pandas.arrays.IntervalArray.set_closed — pandas 2.3.1 documentation

IntervalArray.set_closed(closed)[source]#

Return an identical IntervalArray closed on the specified side.

Parameters:

closed{‘left’, ‘right’, ‘both’, ‘neither’}

Whether the intervals are closed on the left-side, right-side, both or neither.

Returns:

IntervalArray

Examples

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

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