pandas.tseries.offsets.Micro

classpandas.tseries.offsets.Micro

Offset n microseconds.

Parameters:

n:int, default 1

The number of microseconds represented.

See also

DateOffset

Standard kind of date increment.

Examples

You can use the parameter n to represent a shift of n microseconds.

>>> from pandas.tseries.offsets import Micro
>>> ts = pd.Timestamp(2022, 12, 9, 15)
>>> ts
Timestamp('2022-12-09 15:00:00')

>>> ts + Micro(n=1000)
Timestamp('2022-12-09 15:00:00.001000')

>>> ts - Micro(n=1000)
Timestamp('2022-12-09 14:59:59.999000')

>>> ts + Micro(n=-1000)
Timestamp('2022-12-09 14:59:59.999000')

Attributes

base	Returns a copy of the calling offset object with n=1 and all other attributes equal.
delta
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	Return an integer of the total number of nanoseconds.
normalize
rule_code

Methods

copy()	Return a copy of the frequency.
is_anchored()	(DEPRECATED) Return False.
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.