pandas.tseries.offsets.YearEnd#
- class pandas.tseries.offsets.YearEnd#
DateOffset increments between calendar year end dates.
YearEnd goes to the next date which is the end of the year.
- Parameters:
- nint, default 1
The number of years represented.
- normalizebool, default False
Normalize start/end dates to midnight before generating date range.
- monthint, default 12
A specific integer for the month of the year.
See also
DateOffsetStandard kind of date increment.
Examples
>>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.YearEnd() Timestamp('2022-12-31 00:00:00')
>>> ts = pd.Timestamp(2022, 12, 31) >>> ts + pd.offsets.YearEnd() Timestamp('2023-12-31 00:00:00')
>>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.YearEnd(month=2) Timestamp('2022-02-28 00:00:00')
If you want to get the end of the current year:
>>> ts = pd.Timestamp(2022, 12, 31) >>> pd.offsets.YearEnd().rollforward(ts) Timestamp('2022-12-31 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.