pandas.tseries.offsets.BQuarterEnd#

class pandas.tseries.offsets.BQuarterEnd#

DateOffset increments between the last business day of each Quarter.

startingMonth = 1 corresponds to dates like 1/31/2007, 4/30/2007, … startingMonth = 2 corresponds to dates like 2/28/2007, 5/31/2007, … startingMonth = 3 corresponds to dates like 3/30/2007, 6/29/2007, …

Examples

>>> from pandas.tseries.offsets import BQuarterEnd
>>> ts = pd.Timestamp('2020-05-24 05:01:15')
>>> ts + BQuarterEnd()
Timestamp('2020-06-30 05:01:15')
>>> ts + BQuarterEnd(2)
Timestamp('2020-09-30 05:01:15')
>>> ts + BQuarterEnd(1, startingMonth=2)
Timestamp('2020-05-29 05:01:15')
>>> ts + BQuarterEnd(startingMonth=2)
Timestamp('2020-05-29 05:01:15')

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.

n
nanos
normalize
rule_code
startingMonth

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.

apply
isAnchored
onOffset