# pandas.Timestamp.to_period

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')