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Python | Pandas Series.dt.is_month_start

Series.dt can be used to access the values of the series as datetimelike and return several properties. Pandas Series.dt.is_month_start attribute return a boolean value Indicating whether the date is the first day of the month.

Syntax: Series.dt.is_month_start

Parameter : None

Returns : numpy array

Example #1: Use Series.dt.is_month_start attribute to check if the dates in the underlying data of the given series object is start of the month or not.




# 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)


Output :

Now we will use Series.dt.is_month_start attribute to check if the dates in the given series object is start of the month or not.




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


Output :

As we can see in the output, the Series.dt.is_month_start attribute has successfully accessed and returned boolean values indicating whether the dates are the start of the month or not.
 
Example #2 : Use Series.dt.is_month_start attribute to check if the dates in the underlying data of the given series object is start of the month or not.




# 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)


Output :

Now we will use Series.dt.is_month_start attribute to check if the dates in the given series object is start of the month or not.




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


Output :

As we can see in the output, the Series.dt.is_month_start attribute has successfully accessed and returned boolean values indicating whether the dates are the start of the month or not.

Dominic Rubhabha-Wardslaus
Dominic Rubhabha-Wardslaushttp://wardslaus.com
infosec,malicious & dos attacks generator, boot rom exploit philanthropist , wild hacker , game developer,
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