pandas.tseries.offsets.BusinessMonthBegin

class pandas.tseries.offsets.BusinessMonthBegin

DateOffset of one month at the first business day.

BusinessMonthBegin 会跳转到下一个日期，该日期是该月的第一个工作日。

属性

n	Return the count of the number of periods.
normalize	Return boolean whether the frequency can align with midnight.

另请参阅

DateOffset

Standard kind of date increment.

示例

>>> ts = pd.Timestamp(2022, 11, 30)
>>> ts + pd.offsets.BMonthBegin()
Timestamp('2022-12-01 00:00:00')

>>> ts = pd.Timestamp(2022, 12, 1)
>>> ts + pd.offsets.BMonthBegin()
Timestamp('2023-01-02 00:00:00')

如果你想获取当前工作月的开始日期

>>> ts = pd.Timestamp(2022, 12, 1)
>>> pd.offsets.BMonthBegin().rollback(ts)
Timestamp('2022-12-01 00:00:00')

属性

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.
n	Return the count of the number of periods.
name	Return a string representing the base frequency.
nanos	Returns an integer of the total number of nanoseconds for fixed frequencies.
normalize	Return boolean whether the frequency can align with midnight.
rule_code	Return a string representing the base frequency.

Methods

copy()	Return a copy of the frequency.
is_month_end(ts)	Return boolean whether a timestamp occurs on the month end.
is_month_start(ts)	Return boolean whether a timestamp occurs on the month start.
is_on_offset(dt)	Return boolean whether a timestamp intersects with this frequency.
is_quarter_end(ts)	Return boolean whether a timestamp occurs on the quarter end.
is_quarter_start(ts)	Return boolean whether a timestamp occurs on the quarter start.
is_year_end(ts)	Return boolean whether a timestamp occurs on the year end.
is_year_start(ts)	Return boolean whether a timestamp occurs on the year start.
rollback(dt)	Roll provided date backward to next offset only if not on offset.
rollforward(dt)	Roll provided date forward to next offset only if not on offset.