Concatenate two columns of Pandas dataframe Last Updated : 01 Aug, 2020 Comments Improve Suggest changes Like Article Like Report Let's discuss how to Concatenate two columns of dataframe in pandas python. We can do this by using the following functions : concat() append() join() Example 1 : Using the concat() method. Python3 1== # importing the module import pandas as pd # creating 2 DataFrames location = pd.DataFrame({'area': ['new-york', 'columbo', 'mumbai']}) food = pd.DataFrame({'food': ['pizza', 'crabs', 'vada-paw']}) # concatenating the DataFrames det = pd.concat([location, food], join = 'outer', axis = 1) # displaying the DataFrame print(det) Output : Example 2 : Using the append() method. Python3 1== # importing the module import pandas as pd # creating 2 DataFrames first = pd.DataFrame([['one', 1], ['three', 3]], columns =['name', 'word']) second = pd.DataFrame([['two', 2], ['four', 4]], columns =['name', 'word']) # concatenating the DataFrames dt = first.append(second, ignore_index = True) # displaying the DataFrame print(dt) Output : Example 3 : Using the .join() method. Python3 1== # importing the module import pandas as pd # creating 2 DataFrames location = pd.DataFrame({'area' : ['new-york', 'columbo', 'mumbai']}) food = pd.DataFrame({'food': ['pizza', 'crabs', 'vada-paw']}) # concatenating the DataFrames dt = location.join(food) # displaying the DataFrame print(dt) Output : For the three methods to concatenate two columns in a DataFrame, we can add different parameters to change the axis, sort, levels etc. Create Quiz Comment J jainanjali733985 Follow 0 Improve J jainanjali733985 Follow 0 Improve Article Tags : Python Python-pandas Python pandas-dataFrame 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 2 min read Python MySQL 9 min read Python Packages 10 min read Python Modules 7 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 15+ min read StatsModel Library - Tutorial 3 min read Learning Model Building in Scikit-learn 8 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 Python | Build a REST API using Flask 3 min read How to Create a basic API using Django Rest Framework ? 4 min read Python PracticePython Quiz 1 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like