pandas.tseries.offsets.SemiMonthBegin — pandas 2.2.3 documentation (original) (raw)
class pandas.tseries.offsets.SemiMonthBegin#
Two DateOffset’s per month repeating on the first day of the month & day_of_month.
Parameters:
nint, default 1
The number of months represented.
normalizebool, default False
Normalize start/end dates to midnight before generating date range.
day_of_monthint, {1, 3,…,27}, default 15
A specific integer for the day of the month.
Examples
ts = pd.Timestamp(2022, 1, 1) ts + pd.offsets.SemiMonthBegin() Timestamp('2022-01-15 00:00:00')
Attributes
| base | Returns a copy of the calling offset object with n=1 and all other attributes equal. |
|---|---|
| day_of_month | |
| 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 |
Methods
| copy() | Return a copy of the frequency. |
|---|---|
| is_anchored() | (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. |