pandas.tseries.offsets.Week#
- class pandas.tseries.offsets.Week#
Weekly offset.
- Parameters:
- nint, default 1
The number of weeks represented.
- normalizebool, default False
Normalize start/end dates to midnight before generating date range.
- weekdayint or None, default None
Always generate specific day of week. 0 for Monday and 6 for Sunday.
See also
pd.tseries.offsets.WeekOfMonthDescribes monthly dates like, the Tuesday of the 2nd week of each month.
Examples
>>> date_object = pd.Timestamp("2023-01-13") >>> date_object Timestamp('2023-01-13 00:00:00')
>>> date_plus_one_week = date_object + pd.tseries.offsets.Week(n=1) >>> date_plus_one_week Timestamp('2023-01-20 00:00:00')
>>> date_next_monday = date_object + pd.tseries.offsets.Week(weekday=0) >>> date_next_monday Timestamp('2023-01-16 00:00:00')
>>> date_next_sunday = date_object + pd.tseries.offsets.Week(weekday=6) >>> date_next_sunday Timestamp('2023-01-15 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.
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.