# importing pandas as pd
import pandas as pd
 
# Creating the Series
sr = pd.Series(['2012-12-31', '2019-1-1 12:30', '2008-02-2 10:30',
               '2010-1-1 09:25', '2019-12-31 00:00'])
 
# Creating the index
idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5']
 
# set the index
sr.index = idx
 
# Convert the underlying data to datetime
sr = pd.to_datetime(sr)
 
# Print the series
print(sr)

# cast to target frequency
result = sr.dt.to_period(freq = 'W')
 
# print the result
print(result)

# importing pandas as pd
import pandas as pd
 
# Creating the Series
sr = pd.Series(pd.date_range('2012-12-31 00:00', periods = 5, freq = 'D',
                            tz = 'US / Central'))
 
# Creating the index
idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5']
 
# set the index
sr.index = idx
 
# Print the series
print(sr)

# cast to target frequency
result = sr.dt.to_period(freq = '2Y')
 
# print the result
print(result)