pandas.tseries.offsets.Micro#

class pandas.tseries.offsets.Micro#

Offset n microseconds.

Parameters:
nint, 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.