Python | Pandas Series.last() Last Updated : 11 Feb, 2019 Comments Improve Suggest changes 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 S Shubham__Ranjan Follow 0 Improve S Shubham__Ranjan Follow 0 Improve Article Tags : Pandas Python-pandas Python pandas-series-methods AI-ML-DS With Python Explore Pandas Tutorial 4 min read IntroductionPandas Introduction 3 min read How to Install Pandas in Python? 5 min read How To Use Jupyter Notebook - An Ultimate Guide 5 min read Creating ObjectsCreating a Pandas DataFrame 2 min read Python Pandas Series 5 min read Creating a Pandas Series 3 min read Viewing DataPandas Dataframe/Series.head() method - Python 3 min read Pandas Dataframe/Series.tail() method - Python 3 min read Pandas DataFrame describe() Method 4 min read Selection & SlicingDealing with Rows and Columns in Pandas DataFrame 5 min read Pandas Extracting rows using .loc[] - Python 3 min read Extracting rows using Pandas .iloc[] in Python 7 min read Indexing and Selecting Data with Pandas 4 min read Boolean Indexing in Pandas 6 min read Python | Pandas DataFrame.ix[ ] 2 min read Python | Pandas Series.str.slice() 3 min read How to take column-slices of DataFrame in Pandas? 2 min read OperationsPython | Pandas.apply() 4 min read Apply function to every row in a Pandas DataFrame 3 min read Python | Pandas Series.apply() 3 min read Pandas dataframe.aggregate() | Python 2 min read Pandas DataFrame mean() Method 2 min read Python | Pandas Series.mean() 2 min read Python | Pandas dataframe.mad() 2 min read Python | Pandas Series.mad() to calculate Mean Absolute Deviation of a Series 2 min read Python | Pandas dataframe.sem() 3 min read Python | Pandas Series.value_counts() 2 min read Pandas Index.value_counts()-Python 3 min read Applying Lambda functions to Pandas Dataframe 6 min read Manipulating DataAdding New Column to Existing DataFrame in Pandas 6 min read Python | Delete rows/columns from DataFrame using Pandas.drop() 4 min read Python | Pandas DataFrame.truncate 3 min read Python | Pandas Series.truncate() 2 min read Iterating over rows and columns in Pandas DataFrame 4 min read Pandas Dataframe.sort_values() 2 min read Python | Pandas Dataframe.sort_values() | Set-2 3 min read How to add one row in existing Pandas DataFrame? 4 min read Grouping DataPandas GroupBy 4 min read Grouping Rows in pandas 2 min read Combining Multiple Columns in Pandas groupby with Dictionary 2 min read Merging, Joining, Concatenating and ComparingPython | Pandas Merging, Joining and Concatenating 8 min read Python | Pandas Series.str.cat() to concatenate string 3 min read Python - Pandas dataframe.append() 4 min read Python | Pandas Series.append() 4 min read Pandas Index.append() - Python 2 min read Python | Pandas Series.combine() 3 min read Add a row at top in pandas DataFrame 1 min read Python | Pandas str.join() to join string/list elements with passed delimiter 2 min read Join two text columns into a single column in Pandas 2 min read How To Compare Two Dataframes with Pandas compare? 5 min read How to compare the elements of the two Pandas Series? 3 min read Working with Date and TimePython | Working with date and time using Pandas 8 min read Python | Pandas Timestamp.timestamp 3 min read Python | Pandas Timestamp.now 3 min read Python | Pandas Timestamp.isoformat 2 min read Python | Pandas Timestamp.date 2 min read Python | Pandas Timestamp.replace 3 min read Pandas.to_datetime()-Python 3 min read Python | pandas.date_range() method 4 min read Like