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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

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https://pandas.pydata.org/pandas-docs/version/1.4.0/reference/api/pandas.Timestamp.replace.html