@@ -1022,22 +1022,23 @@ def date_range(
10221022 '2018-01-05 00:00:00+09:00'],
10231023 dtype='datetime64[ns, Asia/Tokyo]', freq='D')
10241024
1025- `closed ` controls whether to include `start` and `end` that are on the
1026- boundary. The default includes boundary points on either end.
1025+ `inclusive ` controls whether to include `start` and `end` that are on the
1026+ boundary. The default, "both", includes boundary points on either end.
10271027
1028- >>> pd.date_range(start='2017-01-01', end='2017-01-04', closed=None )
1028+ >>> pd.date_range(start='2017-01-01', end='2017-01-04', inclusive="both" )
10291029 DatetimeIndex(['2017-01-01', '2017-01-02', '2017-01-03', '2017-01-04'],
10301030 dtype='datetime64[ns]', freq='D')
10311031
1032- Use ``closed ='left'`` to exclude `end` if it falls on the boundary.
1032+ Use ``inclusive ='left'`` to exclude `end` if it falls on the boundary.
10331033
1034- >>> pd.date_range(start='2017-01-01', end='2017-01-04', closed ='left')
1034+ >>> pd.date_range(start='2017-01-01', end='2017-01-04', inclusive ='left')
10351035 DatetimeIndex(['2017-01-01', '2017-01-02', '2017-01-03'],
10361036 dtype='datetime64[ns]', freq='D')
10371037
1038- Use ``closed='right'`` to exclude `start` if it falls on the boundary.
1038+ Use ``inclusive='right'`` to exclude `start` if it falls on the boundary, and
1039+ similarly ``inclusive='neither'`` will exclude both `start` and `end`.
10391040
1040- >>> pd.date_range(start='2017-01-01', end='2017-01-04', closed ='right')
1041+ >>> pd.date_range(start='2017-01-01', end='2017-01-04', inclusive ='right')
10411042 DatetimeIndex(['2017-01-02', '2017-01-03', '2017-01-04'],
10421043 dtype='datetime64[ns]', freq='D')
10431044 """
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