pandas.Timestamp.replace

Timestamp.replace(year=None, month=None, day=None, hour=None, minute=None, second=None, microsecond=None, nanosecond=None, tzinfo=<class 'object'>, fold=None)

Implements datetime.replace, handles nanoseconds.

Parameters:

year:int, optional

month:int, optional

day:int, optional

hour:int, optional

minute:int, optional

second:int, optional

microsecond:int, optional

nanosecond:int, optional

tzinfo:tz-convertible, optional

fold:int, optional

Returns:

Timestamp with fields replaced

Examples

Create a timestamp object:

>>> ts = pd.Timestamp('2020-03-14T15:32:52.192548651', tz='UTC')
>>> ts
Timestamp('2020-03-14 15:32:52.192548651+0000', tz='UTC')

Replace year and the hour:

>>> ts.replace(year=1999, hour=10)
Timestamp('1999-03-14 10:32:52.192548651+0000', tz='UTC')

Replace timezone (not a conversion):

>>> import pytz
>>> ts.replace(tzinfo=pytz.timezone('US/Pacific'))
Timestamp('2020-03-14 15:32:52.192548651-0700', tz='US/Pacific')

Analogous for pd.NaT:

>>> pd.NaT.replace(tzinfo=pytz.timezone('US/Pacific'))
NaT