# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(['2012-1-1', '2019-7-18 12:30', '2008-02-2 10:30',
               '2010-4-22 09:25', '2019-1-1 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)

# check if dates are the start
# of the month or not
result = sr.dt.is_month_start
  
# print the result
print(result)

# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(pd.date_range('2012-3-1 00:00',
                     periods = 5, freq = 'W'))
  
# 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)

# check if dates are the start
# of the month or not
result = sr.dt.is_month_start
  
# print the result
print(result)