pandas.tseries.offsets.Minute#
- class pandas.tseries.offsets.Minute#
Offset
n
minutes.Attributes
n
(int, default 1) The number of minutes represented.
See also
DateOffset
Standard kind of date increment.
Examples
You can use the parameter
n
to represent a shift of n minutes.>>> from pandas.tseries.offsets import Minute >>> ts = pd.Timestamp(2022, 12, 9, 15) >>> ts Timestamp('2022-12-09 15:00:00')
>>> ts + Minute(n=10) Timestamp('2022-12-09 15:10:00') >>> ts - Minute(n=10) Timestamp('2022-12-09 14:50:00')
>>> ts + Minute(n=-10) Timestamp('2022-12-09 14:50:00')
Attributes
base
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.
Returns an integer of the total number of nanoseconds.
Return a string representing the base frequency.
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.