pandas.tseries.offsets.CustomBusinessHour#
- class pandas.tseries.offsets.CustomBusinessHour#
- DateOffset subclass representing possibly n custom business days. - 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.CustomBusinessHour() 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