Python | Pandas Timestamp.is_year_end Last Updated : 08 Jan, 2019 Summarize Comments Improve Suggest changes Share Like Article Like 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_year_end attribute return a boolean value. It return True if the date in the given Timestamp object is the end of the year else it return False. Syntax : Timestamp.is_year_end Parameters : None Return : boolean Example #1: Use Timestamp.is_year_end attribute to check if the date in the given Timestamp object is the end of the year or not. Python3 # importing pandas as pd import pandas as pd # Create the Timestamp object ts = pd.Timestamp(2016, 12, 31, 12) # Print the Timestamp object print(ts) Output : Now we will use the Timestamp.is_year_end attribute to check if the date in the ts object is the end of the year or not. Python3 # check if the date is the end of the year ts.is_year_end Output : As we can see in the output, the Timestamp.is_year_end attribute has returned True indicating the date in the given Timestamp object is the end of the year. Example #2: Use Timestamp.is_year_end attribute to check if the date in the given Timestamp object is the end of the year or not. Python3 # 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_year_end attribute to check if the date in the ts object is the end of the year or not. Python3 # check if the date is the end of the year ts.is_year_end Output : As we can see in the output, the Timestamp.is_year_end attribute has returned False indicating the date in the given Timestamp object is not the end of the year. Comment More infoAdvertise with us Next Article Python | Pandas Timestamp.is_leap_year S Shubham__Ranjan Follow Improve Article Tags : Technical Scripter Python Python-pandas Python Pandas-Timestamp Practice Tags : python Similar Reads Python | Pandas Timestamp.year 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.year attribute return the year in which the date in the given Timesta 2 min read Python | Pandas Timestamp.is_leap_year 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_leap_year attribute return a boolean value. It return True if the 2 min read Python | Pandas Timestamp.is_year_start 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_year_start attribute return a boolean value. It return True if the 2 min read Python | Pandas Timestamp.is_month_end 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 2 min read Python | Pandas Series.dt.is_year_end Series.dt can be used to access the values of the series as datetimelike and return several properties. Pandas Series.dt.is_year_end attribute return a boolean value Indicating whether the date is the last day of a year. Syntax: Series.dt.is_year_end Parameter : None Returns : numpy array Example #1 2 min read Python | Pandas Timestamp.is_quarter_end 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_quarter_end attribute return a boolean value. It return True if th 2 min read Like