We can convert the Period and PeriodIndex datatypes to the Datetime/Timestamp and DatetimeIndex datatypes through the to_period and to_timestamp functions, as follows:

    In [339]: worldCupFinal=pd.to_datetime('07/13/2014', 
                                           errors='raise')
             worldCupFinal
       Out[339]: Timestamp('2014-07-13 00:00:00')
    
    In [340]: worldCupFinal.to_period('D')
       Out[340]: Period('2014-07-13', 'D')
    
    In [342]: worldCupKickoff=pd.Period('06/12/2014','D')
             worldCupKickoff
    Out[342]: Period('2014-06-12', 'D')
    In [345]: worldCupKickoff.to_timestamp()
    Out[345]: Timestamp('2014-06-12 00:00:00', tz=None)
    
    In [346]: worldCupDays=pd.date_range('06/12/2014',periods=32,   
                                          freq='D')
             worldCupDays
    Out[346]: <class 'pandas.tseries.index.DatetimeIndex'>
        [2014-06-12, ..., 2014-07-13]
        Length: 32, Freq: D, Timezone: None
    
    In [347]: worldCupDays.to_period()
    Out[347]: <class 'pandas.tseries.period.PeriodIndex'>
        freq: D
        [2014-06-12, ..., 2014-07-13]
        length: 32
  

In the preceding examples, note how periods are converted into timestamps and vice versa.