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DOC: add missing parameters to offsets classes: MonthEnd, MonthBegin, BusinessMonthEnd, and BusinessMonthBegin #53420

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May 28, 2023
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DOC: add missing parameters to offsets classes: MonthEnd, MonthBegin, BusinessMonthEnd, and BusinessMonthBegin #53420

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36 changes: 36 additions & 0 deletions pandas/_libs/tslibs/offsets.pyx
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Original file line number Diff line number Diff line change
Expand Up @@ -2690,6 +2690,13 @@ cdef class MonthEnd(MonthOffset):

MonthEnd goes to the next date which is an end of the month.

Parameters
----------
n : int, default 1
The number of months represented.
normalize : bool, default False
Normalize start/end dates to midnight before generating date range.

See Also
--------
:class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment.
Expand Down Expand Up @@ -2721,6 +2728,13 @@ cdef class MonthBegin(MonthOffset):

MonthBegin goes to the next date which is a start of the month.

Parameters
----------
n : int, default 1
The number of months represented.
normalize : bool, default False
Normalize start/end dates to midnight before generating date range.

See Also
--------
:class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment.
Expand Down Expand Up @@ -2751,6 +2765,17 @@ cdef class BusinessMonthEnd(MonthOffset):

BusinessMonthEnd goes to the next date which is the last business day of the month.

Parameters
----------
n : int, default 1
The number of months represented.
normalize : bool, default False
Normalize start/end dates to midnight before generating date range.

See Also
--------
:class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment.

Examples
--------
>>> ts = pd.Timestamp(2022, 11, 29)
Expand Down Expand Up @@ -2778,6 +2803,17 @@ cdef class BusinessMonthBegin(MonthOffset):
BusinessMonthBegin goes to the next date which is the first business day
of the month.

Parameters
----------
n : int, default 1
The number of months represented.
normalize : bool, default False
Normalize start/end dates to midnight before generating date range.

See Also
--------
:class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment.

Examples
--------
>>> ts = pd.Timestamp(2022, 11, 30)
Expand Down