pandas.tseries.offsets.YearBegin#
- classpandas.tseries.offsets.YearBegin#
DateOffset increments between calendar year begin dates.
YearBegin goes to the next date which is the start 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 1
A specific integer for the month of the year.
See also
DateOffset
Standard kind of date increment.
Examples
>>> ts = pd.Timestamp(2022, 12, 1) >>> ts + pd.offsets.YearBegin() Timestamp('2023年01月01日 00:00:00')
>>> ts = pd.Timestamp(2023, 1, 1) >>> ts + pd.offsets.YearBegin() Timestamp('2024年01月01日 00:00:00')
>>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.YearBegin(month=2) Timestamp('2022年02月01日 00:00:00')
If you want to get the start of the current year:
>>> ts = pd.Timestamp(2023, 1, 1) >>> pd.offsets.YearBegin().rollback(ts) Timestamp('2023年01月01日 00:00:00')
Attributes
base
Returns 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.