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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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/1.4.0/reference/api/pandas.Timestamp.replace.html