pandas.tseries.offsets.BusinessHour#
- class pandas.tseries.offsets.BusinessHour#
DateOffset subclass representing possibly n business hours.
- Parameters
- nint, default 1
The number of months represented.
- 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
.- startstr, default “09:00”
Start time of your custom business hour in 24h format.
- endstr, default: “17:00”
End time of your custom business hour in 24h format.
Examples
>>> ts = pd.Timestamp(2022, 8, 5, 16) >>> ts + pd.offsets.BusinessHour() Timestamp('2022-08-08 09:00:00')
Attributes
Returns a copy of the calling offset object with n=1 and all other attributes equal.
Return a string representing the frequency.
Return a dict of extra parameters for the offset.
Return a string representing the base frequency.
Used for moving to next business day.
Alias for self._offset.
calendar
end
holidays
n
nanos
normalize
rule_code
start
weekmask
Methods
__call__
(*args, **kwargs)Call self as a function.
(DEPRECATED) Vectorized apply of DateOffset to DatetimeIndex.
Return a copy of the frequency.
Return boolean whether the frequency is a unit frequency (n=1).
Return boolean whether a timestamp occurs on the month end.
Return boolean whether a timestamp occurs on the month start.
Return boolean whether a timestamp intersects with this frequency.
Return boolean whether a timestamp occurs on the quarter end.
Return boolean whether a timestamp occurs on the quarter start.
Return boolean whether a timestamp occurs on the year end.
Return boolean whether a timestamp occurs on the year start.
rollback
(other)Roll provided date backward to next offset only if not on offset.
rollforward
(other)Roll provided date forward to next offset only if not on offset.
apply
isAnchored
onOffset