Python | Pandas Series.dt.is_month_start

NumPy | Python Methods and Functions

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.

Python | Pandas Series.dt.is_month_start

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