Python | Pandas Series.last() Last Updated : 11 Feb, 2019 Summarize Comments Improve Suggest changes Share Like Article Like Report Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index. Pandas Series.last() function is a convenience method for subsetting final periods of time series data based on a date offset. Syntax: Series.last(offset) Parameter : offset : string, DateOffset, dateutil.relativedelta Returns : subset : same type as caller Example #1: Use Series.last() function to return the entries for the last 5 Days in the given series object. Python3 # importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series(['New York', 'Chicago', 'Toronto', 'Lisbon', 'Rio', 'Paris']) # Create the Index index_ = pd.date_range('2010-10-09', periods = 6, freq ='2D') # set the index sr.index = index_ # Print the series print(sr) Output : Now we will use Series.last() function to return the entries for last 5 days in the given series object. Python3 # return the entries of last 5 days result = sr.last('5D') # Print the result print(result) Output : As we can see in the output, the Series.last() function has returned the entries for the last 5 days in the given series object. Notice the function has not returned the last 5 entries but the last 5 days entries. Example #2 : Use Series.last() function to return the entries for the last 4 months in the given series object. Python3 # importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series([11, 21, 8, 18, 65, 84, 32, 10, 5, 24, 32]) # Create the Index index_ = pd.date_range('2010-10-09', periods = 11, freq ='M') # set the index sr.index = index_ # Print the series print(sr) Output : Now we will use Series.last() function to return the entries for last 4 months in the given series object. Python3 # return the entries of last 4 Months result = sr.last('4M') # Print the result print(result) Output : As we can see in the output, the Series.last() function has returned the entries for the last 4 months in the given series object. Comment More infoAdvertise with us Next Article Python | Pandas Series.iat S Shubham__Ranjan Follow Improve Article Tags : Pandas Python-pandas Python pandas-series-methods AI-ML-DS With Python Similar Reads Python | Pandas Series.at 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 Series.at attribute enables us to access a single value for a row/column label 2 min read Python | Pandas Series.iat 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 series is a One-dimensional ndarray with axis labels. The labels need not be un 2 min read Python | Pandas Series.nlargest() Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index. Pandas Series.nlargest() function return th 2 min read Python | Pandas Series.data 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 series is a One-dimensional ndarray with axis labels. The labels need not be un 2 min read Python | Pandas Series.axes 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 series is a One-dimensional ndarray with axis labels. The labels need not be un 2 min read Python | Pandas Series.argsort() With the help of Pandas Series.argsort(), one can sort the elements of series in pandas. But the main thing in pandas series is we get the output as index values of the sorted elements in series. In the later code demonstration, we will explain that how we get the output as sorted index values. Synt 3 min read Like