Check if a column ends with given string in Pandas DataFrame Last Updated : 11 Jul, 2025 Comments Improve Suggest changes 3 Likes Like Report In this program, we are trying to check whether the specified column in the given data frame ends with the specified string or not. Pandas endswith() is yet another method to search and filter text data in a DataFrame. This method is similar to Pandas.startwith() method. Syntax: string.endswith(value) Creating Dataframe to Check If a Column Ends with a given String or Not Let's try to understand this using an example suppose we have an employee dataset named Company_id, Joining_Date, Company, companyEmp_id. Python3 # importing library pandas as pd import pandas as pd # creating data frame for employee df = pd.DataFrame({ 'Company_id': ['IF101', 'IF103', 'GFG671', 'GFG881', 'CAPG961', 'WPR981'], 'Company': ['Infosys', 'Infosys', 'GeeksforGeeks', 'GeeksforGeeks', 'Capgemini', 'Wipro'], 'Joining_Date': ['12/12/2011', '07/12/2012', '11/11/2014', '09/12/2015', '01/01/2016', '01/01/2009'], 'Company_Emp_id': ['[email protected]', '[email protected]', '[email protected]', '[email protected]', '[email protected]', '[email protected]'] }) # printing the given data frame print("Printing Original Student DataFrame:") df Output: Example 1: The endswith() method in Python returns True if the string ends with the gfg.com, if not it returns False. Python3 # joining new column in dataframe # endwith function used to check df['GFG_Emp'] = list( map(lambda x: x.endswith('gfg.com'), df['Company_Emp_id'])) # printing new data frame df Output: Example 2: The endswith() method in Python returns True if the string ends with infosys.com, if not it returns False. Python3 # joining new column in dataframe # .startswith function used to check df['GFG_Emp'] = list( map(lambda x: x.endswith('Infosys'), df['Company'])) # printing new data frame df Output: RECOMMENDED ARTICLES - Check if a column starts with given string in Pandas DataFrame Create Quiz Comment A akashkumar17 Follow 3 Improve A akashkumar17 Follow 3 Improve Article Tags : Python Explore Python FundamentalsPython Introduction 2 min read Input and Output in Python 4 min read Python Variables 4 min read Python Operators 4 min read Python Keywords 2 min read Python Data Types 8 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 5 min read Python Functions 5 min read Recursion in Python 4 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 4 min read Python Tuples 4 min read Python Dictionary 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 5 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 3 min read Python MySQL 9 min read Python Packages 10 min read Python Modules 3 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 3 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 4 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 3 min read StatsModel Library - Tutorial 3 min read Learning Model Building in Scikit-learn 6 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 6 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 5 min read Build a REST API using Flask - Python 3 min read Building a Simple API with Django REST Framework 3 min read Python PracticePython Quiz 1 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like