Open In App

Python | Pandas Timestamp.is_month_end

Improve
Improve
Like Article
Like
Save
Share
Report

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

Pandas Timestamp.is_month_end attribute return a boolean value. It return True if the date in the given Timestamp object is the last day of the month else it return False.

Syntax : Timestamp.is_month_end

Parameters : None

Return : boolean

Example #1: Use Timestamp.is_month_end attribute to check if the date in the given Timestamp object is the last day of the month.




# importing pandas as pd
import pandas as pd
  
# Create the Timestamp object
ts = pd.Timestamp(2016, 2, 14, 12)
  
# Print the Timestamp object
print(ts)


Output :

Now we will use the Timestamp.is_month_end attribute to check if the date in the ts object is the last day of the month or not.




# check if the date in ts is last day of the month
ts.is_month_end


Output :

As we can see in the output, the Timestamp.is_month_end attribute has returned False indicating the date in the given Timestamp object is not the month end.

Example #2: Use Timestamp.is_month_end attribute to check if the date in the given Timestamp object is the last day of the month.




# importing pandas as pd
import pandas as pd
  
# Create the Timestamp object
ts = pd.Timestamp(year = 2009, month = 5, day = 31
                    hour = 4, tz = 'Europe/Berlin')
  
# Print the Timestamp object
print(ts)


Output :

Now we will use the Timestamp.is_month_end attribute to check if the date in the ts object is the last day of the month or not.




# check if the date in ts is last day of the month
ts.is_month_end


Output :

As we can see in the output, the Timestamp.is_month_end attribute has returned True indicating the date in the given Timestamp object is the last day of the month.



Last Updated : 08 Jan, 2019
Like Article
Save Article
Previous
Next
Share your thoughts in the comments
Similar Reads