pandas.Timestamp.to_period¶
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Timestamp.to_period()¶ Return an period of which this timestamp is an observation.
Examples
>>> ts = pd.Timestamp('2020-03-14T15:32:52.192548651') >>> ts.to_period(freq='Y) # Year end frequency numpy.datetime64('2020-03-14T15:32:52.192548651')
>>> ts.to_period(freq='M') # Month end frequency Period('2020-03', 'M')
>>> ts.to_period(freq='W') # Weekly frequency Period('2020-03-09/2020-03-15', 'W-SUN')
>>> ts.to_period(freq='Q') # Quarter end frequency Period('2020Q1', 'Q-DEC')