pandas.tseries.offsets.SemiMonthEnd#
- class pandas.tseries.offsets.SemiMonthEnd#
Two DateOffset’s per month repeating on the last day of the month & day_of_month.
- Parameters:
- nint, default 1
The number of months represented.
- normalizebool, default False
Normalize start/end dates to midnight before generating date range.
- day_of_monthint, {1, 3,…,27}, default 15
A specific integer for the day of the month.
Examples
>>> ts = pd.Timestamp(2022, 1, 14) >>> ts + pd.offsets.SemiMonthEnd() Timestamp('2022-01-15 00:00:00')
>>> ts = pd.Timestamp(2022, 1, 15) >>> ts + pd.offsets.SemiMonthEnd() Timestamp('2022-01-31 00:00:00')
>>> ts = pd.Timestamp(2022, 1, 31) >>> ts + pd.offsets.SemiMonthEnd() Timestamp('2022-02-15 00:00:00')
If you want to get the result for the current month:
>>> ts = pd.Timestamp(2022, 1, 15) >>> pd.offsets.SemiMonthEnd().rollforward(ts) Timestamp('2022-01-15 00:00:00')
Attributes
baseReturns 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.
Methods
copy()Return a copy of the frequency.
(DEPRECATED) Return boolean whether the frequency is a unit frequency (n=1).
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.