Python | Pandas Series.dt.is_month_start

Series.dt can be used to access series values ​​as datetimelike and return multiple properties. Series.dt.is_month_start Pandas Series.dt.is_month_start returns a boolean indicating whether the date is the first day month.

Syntax: Series.dt.is_month_start

Parameter: None

Returns: numpy array

Example # 1: Use the Series.dt.is_month_start attribute to check if whether the dates in the underlying data of this series object are the beginning of the month or not.

# import pandas as pd import pandas as pd   # Create 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’ ])   # Create index idx = [ ’Day 1’ , ’Day 2’ , ’ Day 3’ , ’Day 4’ , ’Day 5’ ]    # set index sr.index = idx    # Convert base data to date and time sr = pd.to_datetime (sr)   # Print series print (sr)

Output:

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

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

Output:

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

Example # 2: Use the Series.dt.is_month_start to check if the dates in the underlying data of this series object are the beginning of the month or not.

# import pandas as pd import pandas as pd   # Create series sr = pd.Series (pd.date_range ( ’2012-3-1 00:00’ ,   periods = 5 , freq = ’W’ ))    # Create index idx = [ ’ Day 1’ ,  ’Day 2’ , ’ Day 3’ , ’Day 4’ , ’ Day 5’ ]   # set index sr.index = idx    # Print series print (sr)

Output:

We will now use the Series.dt.is_month_start attribute to check if the dates in the given series object are the beginning of the month or not.

# check if dates are start No. of month or not result = sr.dt.is_month_start   # print the result print (result)

Output:

As we can see from the output, the Series.dt.is_month_start attribute successfully accessed and returned boolean values ​​indicating whether date is the beginning of the month or not.