pandas.tseries.offsets.CustomBusinessDay#

class pandas.tseries.offsets.CustomBusinessDay#

DateOffset subclass representing custom business days excluding holidays.

Parameters

nint, default 1
normalizebool, default False: Normalize start/end dates to midnight before generating date range.
weekmaskstr, Default ‘Mon Tue Wed Thu Fri’: Weekmask of valid business days, passed to numpy.busdaycalendar.
holidayslist: List/array of dates to exclude from the set of valid business days, passed to numpy.busdaycalendar.
calendarnp.busdaycalendar
offsettimedelta, default timedelta(0)

Examples

>>> ts = pd.Timestamp(2022, 8, 5)
>>> ts + pd.offsets.CustomBusinessDay(1)
Timestamp('2022-08-08 00:00:00')

Attributes

`base`	Returns a copy of the calling offset object with n=1 and all other attributes equal.
`freqstr`	Return a string representing the frequency.
`kwds`	Return a dict of extra parameters for the offset.
`name`	Return a string representing the base frequency.
`offset`	Alias for self._offset.

Methods

`__call__`(args, *kwargs)	Call self as a function.
`apply_index`	(DEPRECATED) Vectorized apply of DateOffset to DatetimeIndex.
`copy`	Return a copy of the frequency.
`is_anchored`	Return boolean whether the frequency is a unit frequency (n=1).
`is_month_end`	Return boolean whether a timestamp occurs on the month end.
`is_month_start`	Return boolean whether a timestamp occurs on the month start.
`is_on_offset`	Return boolean whether a timestamp intersects with this frequency.
`is_quarter_end`	Return boolean whether a timestamp occurs on the quarter end.
`is_quarter_start`	Return boolean whether a timestamp occurs on the quarter start.
`is_year_end`	Return boolean whether a timestamp occurs on the year end.
`is_year_start`	Return boolean whether a timestamp occurs on the year start.
`rollback`	Roll provided date backward to next offset only if not on offset.
`rollforward`	Roll provided date forward to next offset only if not on offset.