neulab/docprompting-conala huggingface dataset:
pandas.tseries.offsets.BusinessDay   classpandas.tseries.offsets.BusinessDay
 
DateOffset subclass representing possibly n business days. Attributes       
base Returns a copy of the calling offset object with n=1 and all other attributes equal.  
offset Alias for self._offset.          
calendar   
freqstr   
holidays   
kwds   
n   
name   
nanos   
normalize   
rule_code   
weekmask     Methods       
__call__(*args, **kwargs) Call self as a function.  
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.          
apply   
apply_index   
copy   
isAnchored   
is_anchored   
is_month_end   
is_month_start   
is_on_offset   
is_quarter_end   
is_quarter_start   
is_year_end   
is_year_start   
onOffset
pandas.tseries.offsets.BusinessDay.__call__   BusinessDay.__call__(*args, **kwargs)
 
Call self as a function.
pandas.tseries.offsets.BusinessDay.apply_index   BusinessDay.apply_index(other)
pandas.tseries.offsets.BusinessDay.base   BusinessDay.base
 
Returns a copy of the calling offset object with n=1 and all other attributes equal.
pandas.tseries.offsets.BusinessDay.freqstr   BusinessDay.freqstr
pandas.tseries.offsets.BusinessDay.is_anchored   BusinessDay.is_anchored()
pandas.tseries.offsets.BusinessDay.is_month_end   BusinessDay.is_month_end()
pandas.tseries.offsets.BusinessDay.is_month_start   BusinessDay.is_month_start()
pandas.tseries.offsets.BusinessDay.is_on_offset   BusinessDay.is_on_offset()
pandas.tseries.offsets.BusinessDay.is_quarter_end   BusinessDay.is_quarter_end()
pandas.tseries.offsets.BusinessDay.is_quarter_start   BusinessDay.is_quarter_start()
pandas.tseries.offsets.BusinessDay.is_year_end   BusinessDay.is_year_end()
pandas.tseries.offsets.BusinessDay.is_year_start   BusinessDay.is_year_start()
pandas.tseries.offsets.BusinessDay.isAnchored   BusinessDay.isAnchored()
pandas.tseries.offsets.BusinessDay.offset   BusinessDay.offset
 
Alias for self._offset.
pandas.tseries.offsets.BusinessDay.rollback   BusinessDay.rollback()
 
Roll provided date backward to next offset only if not on offset.  Returns 
 TimeStamp

Rolled timestamp if not on offset, otherwise unchanged timestamp.
pandas.tseries.offsets.BusinessDay.rollforward   BusinessDay.rollforward()
 
Roll provided date forward to next offset only if not on offset.  Returns 
 TimeStamp

Rolled timestamp if not on offset, otherwise unchanged timestamp.
pandas.tseries.offsets.BusinessDay.rule_code   BusinessDay.rule_code
pandas.tseries.offsets.BusinessDay.weekmask   BusinessDay.weekmask
pandas.tseries.offsets.BusinessHour   classpandas.tseries.offsets.BusinessHour
 
DateOffset subclass representing possibly n business hours.  Parameters 
 
n:int, default 1


The number of months represented.  
normalize:bool, default False


Normalize start/end dates to midnight before generating date range.  
weekmask:str, Default ‘Mon Tue Wed Thu Fri’


Weekmask of valid business days, passed to numpy.busdaycalendar.  
start:str, default “09:00”


Start time of your custom business hour in 24h format.  
end:str, default: “17:00”


End time of your custom business hour in 24h format.     Attributes       
base Returns a copy of the calling offset object with n=1 and all other attributes equal.  
next_bday Used for moving to next business day.  
offset Alias for self._offset.          
calendar   
end   
freqstr   
holidays   
kwds   
n   
name   
nanos   
normalize   
rule_code   
start   
weekmask     Methods       
__call__(*args, **kwargs) Call self as a function.  
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   
apply_index   
copy   
isAnchored   
is_anchored   
is_month_end   
is_month_start   
is_on_offset   
is_quarter_end   
is_quarter_start   
is_year_end   
is_year_start   
onOffset
pandas.tseries.offsets.BusinessHour.__call__   BusinessHour.__call__(*args, **kwargs)
 
Call self as a function.
pandas.tseries.offsets.BusinessHour.apply_index   BusinessHour.apply_index(other)
pandas.tseries.offsets.BusinessHour.base   BusinessHour.base
 
Returns a copy of the calling offset object with n=1 and all other attributes equal.
pandas.tseries.offsets.BusinessHour.freqstr   BusinessHour.freqstr
pandas.tseries.offsets.BusinessHour.is_anchored   BusinessHour.is_anchored()
pandas.tseries.offsets.BusinessHour.is_month_end   BusinessHour.is_month_end()
pandas.tseries.offsets.BusinessHour.is_month_start   BusinessHour.is_month_start()
pandas.tseries.offsets.BusinessHour.is_on_offset   BusinessHour.is_on_offset()
pandas.tseries.offsets.BusinessHour.is_quarter_end   BusinessHour.is_quarter_end()
pandas.tseries.offsets.BusinessHour.is_quarter_start   BusinessHour.is_quarter_start()
pandas.tseries.offsets.BusinessHour.is_year_end   BusinessHour.is_year_end()
pandas.tseries.offsets.BusinessHour.is_year_start   BusinessHour.is_year_start()
pandas.tseries.offsets.BusinessHour.isAnchored   BusinessHour.isAnchored()
pandas.tseries.offsets.BusinessHour.kwds   BusinessHour.kwds
pandas.tseries.offsets.BusinessHour.nanos   BusinessHour.nanos
pandas.tseries.offsets.BusinessHour.next_bday   BusinessHour.next_bday
 
Used for moving to next business day.
pandas.tseries.offsets.BusinessHour.offset   BusinessHour.offset
 
Alias for self._offset.
pandas.tseries.offsets.BusinessHour.onOffset   BusinessHour.onOffset()
pandas.tseries.offsets.BusinessHour.rollback   BusinessHour.rollback(other)
 
Roll provided date backward to next offset only if not on offset.
pandas.tseries.offsets.BusinessHour.rollforward   BusinessHour.rollforward(other)
 
Roll provided date forward to next offset only if not on offset.
pandas.tseries.offsets.BusinessHour.rule_code   BusinessHour.rule_code
pandas.tseries.offsets.BusinessHour.weekmask   BusinessHour.weekmask
pandas.tseries.offsets.BusinessMonthBegin   classpandas.tseries.offsets.BusinessMonthBegin
 
DateOffset of one month at the first business day. Examples 
>>> from pandas.tseries.offsets import BMonthBegin
>>> ts=pd.Timestamp('2020-05-24 05:01:15')
>>> ts + BMonthBegin()
Timestamp('2020-06-01 05:01:15')
>>> ts + BMonthBegin(2)
Timestamp('2020-07-01 05:01:15')
>>> ts + BMonthBegin(-3)
Timestamp('2020-03-02 05:01:15')
  Attributes       
base Returns a copy of the calling offset object with n=1 and all other attributes equal.          
freqstr   
kwds   
n   
name   
nanos   
normalize   
rule_code     Methods       
__call__(*args, **kwargs) Call self as a function.  
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.          
apply   
apply_index   
copy   
isAnchored   
is_anchored   
is_month_end   
is_month_start   
is_on_offset   
is_quarter_end   
is_quarter_start   
is_year_end   
is_year_start   
onOffset
pandas.tseries.offsets.BusinessMonthBegin.__call__   BusinessMonthBegin.__call__(*args, **kwargs)
 
Call self as a function.
pandas.tseries.offsets.BusinessMonthBegin.apply   BusinessMonthBegin.apply()
pandas.tseries.offsets.BusinessMonthBegin.apply_index   BusinessMonthBegin.apply_index(other)
pandas.tseries.offsets.BusinessMonthBegin.base   BusinessMonthBegin.base
 
Returns a copy of the calling offset object with n=1 and all other attributes equal.
pandas.tseries.offsets.BusinessMonthBegin.copy   BusinessMonthBegin.copy()
pandas.tseries.offsets.BusinessMonthBegin.freqstr   BusinessMonthBegin.freqstr
pandas.tseries.offsets.BusinessMonthBegin.is_anchored   BusinessMonthBegin.is_anchored()
pandas.tseries.offsets.BusinessMonthBegin.is_month_end   BusinessMonthBegin.is_month_end()
pandas.tseries.offsets.BusinessMonthBegin.is_month_start   BusinessMonthBegin.is_month_start()
pandas.tseries.offsets.BusinessMonthBegin.is_on_offset   BusinessMonthBegin.is_on_offset()
pandas.tseries.offsets.BusinessMonthBegin.is_quarter_end   BusinessMonthBegin.is_quarter_end()
pandas.tseries.offsets.BusinessMonthBegin.is_quarter_start   BusinessMonthBegin.is_quarter_start()
pandas.tseries.offsets.BusinessMonthBegin.is_year_end   BusinessMonthBegin.is_year_end()
pandas.tseries.offsets.BusinessMonthBegin.is_year_start   BusinessMonthBegin.is_year_start()
pandas.tseries.offsets.BusinessMonthBegin.isAnchored   BusinessMonthBegin.isAnchored()
pandas.tseries.offsets.BusinessMonthBegin.kwds   BusinessMonthBegin.kwds
pandas.tseries.offsets.BusinessMonthBegin.n   BusinessMonthBegin.n
pandas.tseries.offsets.BusinessMonthBegin.name   BusinessMonthBegin.name
pandas.tseries.offsets.BusinessMonthBegin.nanos   BusinessMonthBegin.nanos
pandas.tseries.offsets.BusinessMonthBegin.normalize   BusinessMonthBegin.normalize
pandas.tseries.offsets.BusinessMonthBegin.onOffset   BusinessMonthBegin.onOffset()
pandas.tseries.offsets.BusinessMonthBegin.rollback   BusinessMonthBegin.rollback()
 
Roll provided date backward to next offset only if not on offset.  Returns 
 TimeStamp

Rolled timestamp if not on offset, otherwise unchanged timestamp.
pandas.tseries.offsets.BusinessMonthBegin.rollforward   BusinessMonthBegin.rollforward()
 
Roll provided date forward to next offset only if not on offset.  Returns 
 TimeStamp

Rolled timestamp if not on offset, otherwise unchanged timestamp.
pandas.tseries.offsets.BusinessMonthBegin.rule_code   BusinessMonthBegin.rule_code
pandas.tseries.offsets.BusinessMonthEnd   classpandas.tseries.offsets.BusinessMonthEnd
 
DateOffset increments between the last business day of the month. Examples 
>>> from pandas.tseries.offsets import BMonthEnd
>>> ts = pd.Timestamp('2020-05-24 05:01:15')
>>> ts + BMonthEnd()
Timestamp('2020-05-29 05:01:15')
>>> ts + BMonthEnd(2)
Timestamp('2020-06-30 05:01:15')
>>> ts + BMonthEnd(-2)
Timestamp('2020-03-31 05:01:15')
  Attributes       
base Returns a copy of the calling offset object with n=1 and all other attributes equal.          
freqstr   
kwds   
n   
name   
nanos   
normalize   
rule_code     Methods       
__call__(*args, **kwargs) Call self as a function.  
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.          
apply   
apply_index   
copy   
isAnchored   
is_anchored   
is_month_end   
is_month_start   
is_on_offset   
is_quarter_end   
is_quarter_start   
is_year_end   
is_year_start   
onOffset
pandas.tseries.offsets.BusinessMonthEnd.__call__   BusinessMonthEnd.__call__(*args, **kwargs)
 
Call self as a function.
pandas.tseries.offsets.BusinessMonthEnd.apply   BusinessMonthEnd.apply()
pandas.tseries.offsets.BusinessMonthEnd.apply_index   BusinessMonthEnd.apply_index(other)
pandas.tseries.offsets.BusinessMonthEnd.base   BusinessMonthEnd.base
 
Returns a copy of the calling offset object with n=1 and all other attributes equal.
pandas.tseries.offsets.BusinessMonthEnd.copy   BusinessMonthEnd.copy()
pandas.tseries.offsets.BusinessMonthEnd.freqstr   BusinessMonthEnd.freqstr
pandas.tseries.offsets.BusinessMonthEnd.is_anchored   BusinessMonthEnd.is_anchored()
pandas.tseries.offsets.BusinessMonthEnd.is_month_end   BusinessMonthEnd.is_month_end()
pandas.tseries.offsets.BusinessMonthEnd.is_month_start   BusinessMonthEnd.is_month_start()
pandas.tseries.offsets.BusinessMonthEnd.is_on_offset   BusinessMonthEnd.is_on_offset()
pandas.tseries.offsets.BusinessMonthEnd.is_quarter_end   BusinessMonthEnd.is_quarter_end()
pandas.tseries.offsets.BusinessMonthEnd.is_quarter_start   BusinessMonthEnd.is_quarter_start()
pandas.tseries.offsets.BusinessMonthEnd.is_year_end   BusinessMonthEnd.is_year_end()
pandas.tseries.offsets.BusinessMonthEnd.is_year_start   BusinessMonthEnd.is_year_start()
pandas.tseries.offsets.BusinessMonthEnd.isAnchored   BusinessMonthEnd.isAnchored()
pandas.tseries.offsets.BusinessMonthEnd.kwds   BusinessMonthEnd.kwds
pandas.tseries.offsets.BusinessMonthEnd.n   BusinessMonthEnd.n
pandas.tseries.offsets.BusinessMonthEnd.name   BusinessMonthEnd.name
pandas.tseries.offsets.BusinessMonthEnd.nanos   BusinessMonthEnd.nanos
pandas.tseries.offsets.BusinessMonthEnd.normalize   BusinessMonthEnd.normalize
pandas.tseries.offsets.BusinessMonthEnd.onOffset   BusinessMonthEnd.onOffset()
pandas.tseries.offsets.BusinessMonthEnd.rollback   BusinessMonthEnd.rollback()
 
Roll provided date backward to next offset only if not on offset.  Returns 
 TimeStamp

Rolled timestamp if not on offset, otherwise unchanged timestamp.
pandas.tseries.offsets.BusinessMonthEnd.rollforward   BusinessMonthEnd.rollforward()
 
Roll provided date forward to next offset only if not on offset.  Returns 
 TimeStamp

Rolled timestamp if not on offset, otherwise unchanged timestamp.
pandas.tseries.offsets.BusinessMonthEnd.rule_code   BusinessMonthEnd.rule_code
pandas.tseries.offsets.BYearBegin   classpandas.tseries.offsets.BYearBegin
 
DateOffset increments between the first business day of the year. Examples 
>>> from pandas.tseries.offsets import BYearBegin
>>> ts = pd.Timestamp('2020-05-24 05:01:15')
>>> ts + BYearBegin()
Timestamp('2021-01-01 05:01:15')
>>> ts - BYearBegin()
Timestamp('2020-01-01 05:01:15')
>>> ts + BYearBegin(-1)
Timestamp('2020-01-01 05:01:15')
>>> ts + BYearBegin(2)
Timestamp('2022-01-03 05:01:15')
  Attributes       
base Returns a copy of the calling offset object with n=1 and all other attributes equal.          
freqstr   
kwds   
month   
n   
name   
nanos   
normalize   
rule_code     Methods       
__call__(*args, **kwargs) Call self as a function.  
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.          
apply   
apply_index   
copy   
isAnchored   
is_anchored   
is_month_end   
is_month_start   
is_on_offset   
is_quarter_end   
is_quarter_start   
is_year_end   
is_year_start   
onOffset
pandas.tseries.offsets.BYearBegin.__call__   BYearBegin.__call__(*args, **kwargs)
 
Call self as a function.
pandas.tseries.offsets.BYearBegin.apply   BYearBegin.apply()
pandas.tseries.offsets.BYearBegin.apply_index   BYearBegin.apply_index(other)
pandas.tseries.offsets.BYearBegin.base   BYearBegin.base
 
Returns a copy of the calling offset object with n=1 and all other attributes equal.
pandas.tseries.offsets.BYearBegin.copy   BYearBegin.copy()
pandas.tseries.offsets.BYearBegin.freqstr   BYearBegin.freqstr
pandas.tseries.offsets.BYearBegin.is_anchored   BYearBegin.is_anchored()
pandas.tseries.offsets.BYearBegin.is_month_end   BYearBegin.is_month_end()
pandas.tseries.offsets.BYearBegin.is_month_start   BYearBegin.is_month_start()
pandas.tseries.offsets.BYearBegin.is_on_offset   BYearBegin.is_on_offset()
pandas.tseries.offsets.BYearBegin.is_quarter_end   BYearBegin.is_quarter_end()
pandas.tseries.offsets.BYearBegin.is_quarter_start   BYearBegin.is_quarter_start()
pandas.tseries.offsets.BYearBegin.is_year_end   BYearBegin.is_year_end()
pandas.tseries.offsets.BYearBegin.is_year_start   BYearBegin.is_year_start()
pandas.tseries.offsets.BYearBegin.isAnchored   BYearBegin.isAnchored()
pandas.tseries.offsets.BYearBegin.kwds   BYearBegin.kwds
pandas.tseries.offsets.BYearBegin.month   BYearBegin.month
pandas.tseries.offsets.BYearBegin.n   BYearBegin.n
pandas.tseries.offsets.BYearBegin.name   BYearBegin.name
pandas.tseries.offsets.BYearBegin.nanos   BYearBegin.nanos
pandas.tseries.offsets.BYearBegin.normalize   BYearBegin.normalize
pandas.tseries.offsets.BYearBegin.onOffset   BYearBegin.onOffset()
pandas.tseries.offsets.BYearBegin.rollback   BYearBegin.rollback()
 
Roll provided date backward to next offset only if not on offset.  Returns 
 TimeStamp

Rolled timestamp if not on offset, otherwise unchanged timestamp.
pandas.tseries.offsets.BYearBegin.rollforward   BYearBegin.rollforward()
 
Roll provided date forward to next offset only if not on offset.  Returns 
 TimeStamp

Rolled timestamp if not on offset, otherwise unchanged timestamp.
pandas.tseries.offsets.BYearBegin.rule_code   BYearBegin.rule_code
pandas.tseries.offsets.BYearEnd   classpandas.tseries.offsets.BYearEnd
 
DateOffset increments between the last business day of the year. Examples 
>>> from pandas.tseries.offsets import BYearEnd
>>> ts = pd.Timestamp('2020-05-24 05:01:15')
>>> ts - BYearEnd()
Timestamp('2019-12-31 05:01:15')
>>> ts + BYearEnd()
Timestamp('2020-12-31 05:01:15')
>>> ts + BYearEnd(3)
Timestamp('2022-12-30 05:01:15')
>>> ts + BYearEnd(-3)
Timestamp('2017-12-29 05:01:15')
>>> ts + BYearEnd(month=11)
Timestamp('2020-11-30 05:01:15')
  Attributes       
base Returns a copy of the calling offset object with n=1 and all other attributes equal.          
freqstr   
kwds   
month   
n   
name   
nanos   
normalize   
rule_code     Methods       
__call__(*args, **kwargs) Call self as a function.  
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.          
apply   
apply_index   
copy   
isAnchored   
is_anchored   
is_month_end   
is_month_start   
is_on_offset   
is_quarter_end   
is_quarter_start   
is_year_end   
is_year_start   
onOffset
pandas.tseries.offsets.BYearEnd.__call__   BYearEnd.__call__(*args, **kwargs)
 
Call self as a function.
pandas.tseries.offsets.BYearEnd.apply   BYearEnd.apply()
pandas.tseries.offsets.BYearEnd.apply_index   BYearEnd.apply_index(other)
pandas.tseries.offsets.BYearEnd.base   BYearEnd.base
 
Returns a copy of the calling offset object with n=1 and all other attributes equal.
pandas.tseries.offsets.BYearEnd.copy   BYearEnd.copy()
pandas.tseries.offsets.BYearEnd.freqstr   BYearEnd.freqstr
pandas.tseries.offsets.BYearEnd.is_anchored   BYearEnd.is_anchored()
pandas.tseries.offsets.BYearEnd.is_month_end   BYearEnd.is_month_end()
pandas.tseries.offsets.BYearEnd.is_month_start   BYearEnd.is_month_start()
pandas.tseries.offsets.BYearEnd.is_on_offset   BYearEnd.is_on_offset()
pandas.tseries.offsets.BYearEnd.is_quarter_end   BYearEnd.is_quarter_end()
pandas.tseries.offsets.BYearEnd.is_quarter_start   BYearEnd.is_quarter_start()
pandas.tseries.offsets.BYearEnd.is_year_end   BYearEnd.is_year_end()
pandas.tseries.offsets.BYearEnd.is_year_start   BYearEnd.is_year_start()
pandas.tseries.offsets.BYearEnd.isAnchored   BYearEnd.isAnchored()
pandas.tseries.offsets.BYearEnd.kwds   BYearEnd.kwds
pandas.tseries.offsets.BYearEnd.month   BYearEnd.month
pandas.tseries.offsets.BYearEnd.n   BYearEnd.n
pandas.tseries.offsets.BYearEnd.name   BYearEnd.name
pandas.tseries.offsets.BYearEnd.nanos   BYearEnd.nanos
pandas.tseries.offsets.BYearEnd.normalize   BYearEnd.normalize
pandas.tseries.offsets.BYearEnd.onOffset   BYearEnd.onOffset()
pandas.tseries.offsets.BYearEnd.rollback   BYearEnd.rollback()
 
Roll provided date backward to next offset only if not on offset.  Returns 
 TimeStamp

Rolled timestamp if not on offset, otherwise unchanged timestamp.
pandas.tseries.offsets.BYearEnd.rollforward   BYearEnd.rollforward()
 
Roll provided date forward to next offset only if not on offset.  Returns 
 TimeStamp

Rolled timestamp if not on offset, otherwise unchanged timestamp.
pandas.tseries.offsets.BYearEnd.rule_code   BYearEnd.rule_code
pandas.tseries.offsets.CBMonthBegin   pandas.tseries.offsets.CBMonthBegin
 
alias of pandas._libs.tslibs.offsets.CustomBusinessMonthBegin
pandas.tseries.offsets.CBMonthEnd   pandas.tseries.offsets.CBMonthEnd
 
alias of pandas._libs.tslibs.offsets.CustomBusinessMonthEnd
pandas.tseries.offsets.CDay   pandas.tseries.offsets.CDay
 
alias of pandas._libs.tslibs.offsets.CustomBusinessDay
pandas.tseries.offsets.CustomBusinessDay   classpandas.tseries.offsets.CustomBusinessDay
 
DateOffset subclass representing custom business days excluding holidays.  Parameters 
 
n:int, default 1


normalize:bool, default False


Normalize start/end dates to midnight before generating date range.  
weekmask:str, Default ‘Mon Tue Wed Thu Fri’


Weekmask of valid business days, passed to numpy.busdaycalendar.  
holidays:list


List/array of dates to exclude from the set of valid business days, passed to numpy.busdaycalendar.  
calendar:pd.HolidayCalendar or np.busdaycalendar


offset:timedelta, default timedelta(0)

   Attributes       
base Returns a copy of the calling offset object with n=1 and all other attributes equal.  
offset Alias for self._offset.          
calendar   
freqstr   
holidays   
kwds   
n   
name   
nanos   
normalize   
rule_code   
weekmask     Methods       
__call__(*args, **kwargs) Call self as a function.  
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.          
apply   
apply_index   
copy   
isAnchored   
is_anchored   
is_month_end   
is_month_start   
is_on_offset   
is_quarter_end   
is_quarter_start   
is_year_end   
is_year_start   
onOffset
pandas.tseries.offsets.CustomBusinessDay.__call__   CustomBusinessDay.__call__(*args, **kwargs)
 
Call self as a function.
pandas.tseries.offsets.CustomBusinessDay.apply_index   CustomBusinessDay.apply_index()
pandas.tseries.offsets.CustomBusinessDay.base   CustomBusinessDay.base
 
Returns a copy of the calling offset object with n=1 and all other attributes equal.
pandas.tseries.offsets.CustomBusinessDay.freqstr   CustomBusinessDay.freqstr
pandas.tseries.offsets.CustomBusinessDay.is_anchored   CustomBusinessDay.is_anchored()
pandas.tseries.offsets.CustomBusinessDay.is_month_end   CustomBusinessDay.is_month_end()
pandas.tseries.offsets.CustomBusinessDay.is_month_start   CustomBusinessDay.is_month_start()
pandas.tseries.offsets.CustomBusinessDay.is_on_offset   CustomBusinessDay.is_on_offset()
pandas.tseries.offsets.CustomBusinessDay.is_quarter_end   CustomBusinessDay.is_quarter_end()
pandas.tseries.offsets.CustomBusinessDay.is_quarter_start   CustomBusinessDay.is_quarter_start()
pandas.tseries.offsets.CustomBusinessDay.is_year_end   CustomBusinessDay.is_year_end()
pandas.tseries.offsets.CustomBusinessDay.is_year_start   CustomBusinessDay.is_year_start()
pandas.tseries.offsets.CustomBusinessDay.isAnchored   CustomBusinessDay.isAnchored()
pandas.tseries.offsets.CustomBusinessDay.kwds   CustomBusinessDay.kwds
pandas.tseries.offsets.CustomBusinessDay.nanos   CustomBusinessDay.nanos
pandas.tseries.offsets.CustomBusinessDay.offset   CustomBusinessDay.offset
 
Alias for self._offset.
pandas.tseries.offsets.CustomBusinessDay.onOffset   CustomBusinessDay.onOffset()
pandas.tseries.offsets.CustomBusinessDay.rollback   CustomBusinessDay.rollback()
 
Roll provided date backward to next offset only if not on offset.  Returns 
 TimeStamp

Rolled timestamp if not on offset, otherwise unchanged timestamp.
pandas.tseries.offsets.CustomBusinessDay.rollforward   CustomBusinessDay.rollforward()
 
Roll provided date forward to next offset only if not on offset.  Returns 
 TimeStamp

Rolled timestamp if not on offset, otherwise unchanged timestamp.
pandas.tseries.offsets.CustomBusinessDay.rule_code   CustomBusinessDay.rule_code
pandas.tseries.offsets.CustomBusinessDay.weekmask   CustomBusinessDay.weekmask
pandas.tseries.offsets.CustomBusinessHour   classpandas.tseries.offsets.CustomBusinessHour
 
DateOffset subclass representing possibly n custom business days.  Parameters 
 
n:int, default 1


The number of months represented.  
normalize:bool, default False


Normalize start/end dates to midnight before generating date range.  
weekmask:str, Default ‘Mon Tue Wed Thu Fri’


Weekmask of valid business days, passed to numpy.busdaycalendar.  
start:str, default “09:00”


Start time of your custom business hour in 24h format.  
end:str, default: “17:00”


End time of your custom business hour in 24h format.     Attributes       
base Returns a copy of the calling offset object with n=1 and all other attributes equal.  
next_bday Used for moving to next business day.  
offset Alias for self._offset.          
calendar   
end   
freqstr   
holidays   
kwds   
n   
name   
nanos   
normalize   
rule_code   
start   
weekmask     Methods       
__call__(*args, **kwargs) Call self as a function.  
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   
apply_index   
copy   
isAnchored   
is_anchored   
is_month_end   
is_month_start   
is_on_offset   
is_quarter_end   
is_quarter_start   
is_year_end   
is_year_start   
onOffset