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.WeekOfMonth

Describes 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

base	Returns a copy of the calling offset object with n=1 and all other attributes equal.
freqstr	Return a string representing the frequency.
kwds	Return a dict of extra parameters for the offset.
n
name	Return a string representing the base frequency.
nanos
normalize
rule_code
weekday

Methods

copy()	Return a copy of the frequency.
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.