pandas.tseries.offsets.YearBegin#
- class pandas.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('2023-01-01 00:00:00')
>>> ts = pd.Timestamp(2023, 1, 1) >>> ts + pd.offsets.YearBegin() Timestamp('2024-01-01 00:00:00')
>>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.YearBegin(month=2) Timestamp('2022-02-01 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('2023-01-01 00:00:00')
Attributes
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.
month
n
nanos
normalize
rule_code
Methods
Return a copy of the frequency.
Return boolean whether the frequency is a unit frequency (n=1).
Return boolean whether a timestamp occurs on the month end.
Return boolean whether a timestamp occurs on the month start.
Return boolean whether a timestamp intersects with this frequency.
Return boolean whether a timestamp occurs on the quarter end.
Return boolean whether a timestamp occurs on the quarter start.
Return boolean whether a timestamp occurs on the year end.
Return boolean whether a timestamp occurs on the year start.
Roll provided date backward to next offset only if not on offset.
Roll provided date forward to next offset only if not on offset.