pandas.tseries.offsets.QuarterBegin — pandas 2.2.3 documentation (original) (raw)
class pandas.tseries.offsets.QuarterBegin#
DateOffset increments between Quarter start dates.
startingMonth = 1 corresponds to dates like 1/01/2007, 4/01/2007, … startingMonth = 2 corresponds to dates like 2/01/2007, 5/01/2007, … startingMonth = 3 corresponds to dates like 3/01/2007, 6/01/2007, …
Parameters:
nint, default 1
The number of quarters represented.
normalizebool, default False
Normalize start/end dates to midnight before generating date range.
startingMonthint, default 3
A specific integer for the month of the year from which we start quarters.
See also
Standard kind of date increment.
Examples
ts = pd.Timestamp(2022, 1, 1) ts + pd.offsets.QuarterBegin() Timestamp('2022-03-01 00:00:00')
Attributes
base | Returns a copy of the calling offset object with n=1 and all other attributes equal. |
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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 | |
startingMonth |
Methods
copy() | Return a copy of the frequency. |
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is_anchored() | 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. |