@@ -1640,6 +1640,45 @@ class DateOffset(RelativeDeltaOffset, metaclass=OffsetMeta):
16401640 Standard kind of date increment used for a date range.
16411641
16421642 Works exactly like the keyword argument form of relativedelta.
1643+
1644+ Standard base class for defining time based frequency offsets in pandas.
1645+
1646+ DateOffset objects can be added to or subtracted from datetime-like values.
1647+ Subclasses of DateOffset define specific time increments, such as days,
1648+ months, or business days. This class is not typically used directly;
1649+ instead, use subclasses like MonthEnd, BusinessDay, or Hour.
1650+
1651+ Parameters
1652+ ----------
1653+ n : int, default 1
1654+ The number of time periods the offset represents.
1655+ normalize : bool, default False
1656+ Whether to normalize the result to midnight.
1657+ **kwds : dict, optional
1658+ Additional keyword arguments handled by subclasses. Examples include:
1659+ months, days, weekday, weekmask, holidays, etc.
1660+
1661+ See Also
1662+ --------
1663+ pandas.tseries.offsets.BusinessDay : Offset representing business days.
1664+ pandas.tseries.offsets.MonthEnd : Offset representing end-of-month dates.
1665+ pandas.date_range : Generate a sequence of dates using an offset.
1666+ pandas.Series.resample : Convert time series to specified frequency.
1667+
1668+ Examples
1669+ --------
1670+ >>> from pandas.tseries.offsets import DateOffset
1671+ >>> import pandas as pd
1672+ >>> ts = pd.Timestamp("2023-01-15")
1673+ >>> ts + DateOffset(months=1)
1674+ Timestamp('2023-02-15 00:00:00')
1675+
1676+ >>> ts - DateOffset(days=10)
1677+ Timestamp('2023-01-05 00:00:00')
1678+
1679+ >>> ts + DateOffset(weekday=0) # Monday
1680+ Timestamp('2023-01-16 00:00:00')
1681+
16431682 Note that the positional argument form of relativedelta is not
16441683 supported. Use of the keyword n is discouraged-- you would be better
16451684 off specifying n in the keywords you use, but regardless it is
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