Read CSV File without Unnamed Index Column in Python Last Updated : 28 Apr, 2025 Summarize Comments Improve Suggest changes Share Like Article Like Report Whenever the user creates the data frame in Pandas, the Unnamed index column is by default added to the data frame. The article aims to demonstrate how to read CSV File without Unnamed Index Column using index_col=0 while reading CSV. Read CSV File without Unnamed Index Column Using index_col=0 while reading CSVThe way of explicitly specifying which column to make as the index to the read_csv() function is known as the index_col attribute. This method is useful if you have created the dataset in Pandas and have stored that in a CSV file. Then, while importing that CSV file back in Pandas, you can use this method, with syntax: df=pd.read_csv(csv_file ,index_col=0)In this method, we will use the Pandas data frame with three columns, name, subject and fees, Dataset link. On uploading this Pandas data frame in CSV, it by defaults shows an unnamed column in the dataset. The original data is: Python3 import pandas as pd # Read the CSV file into a DataFrame df = pd.read_csv("student_data.csv") # Display the DataFrame print(df) Output: Unnamed: 0 name subject fees 0 0 Arun Maths 9000 1 1 Aniket Social Science 12000 2 2 Ishits English 15000 3 3 Pranjal Science 18000 4 4 Vinayak Computer 18000 Now, let's see how to remove that unnamed column by using index_col attribute of read_csv function. Python3 # Read the CSV file removing unnamed columns df = pd.read_csv('student_data.csv', index_col=0) print('Dataframe after removing unnamed columns:') print(df) Output: Dataframe after removing unnamed columns: name subject fees 0 Arun Maths 9000 1 Aniket Social Science 12000 2 Ishits English 15000 3 Pranjal Science 18000 4 Vinayak Computer 18000 Comment More infoAdvertise with us Next Article Read CSV File without Unnamed Index Column in Python V vin8rai Follow Improve Article Tags : Python python-csv Practice Tags : python Similar Reads Python - Read CSV Column into List without header Prerequisites: Reading and Writing data in CSV CSV files are parsed in python with the help of csv library.  The csv library contains objects that are used to read, write and process data from and to CSV files. Sometimes, while working with large amounts of data, we want to omit a few rows or colum 2 min read Read a file without newlines in Python When working with files in Python, it's common to encounter scenarios where you need to read the file content without including newline characters. Newlines can sometimes interfere with the processing or formatting of the data. In this article, we'll explore different approaches to reading a file wi 2 min read Rename column name with an index number of the CSV file in Pandas In this blog post, we will learn how to rename the column name with an index number of the CSV file in Pandas.Renaming Column Name with an Index NumberPandas, an advanced data manipulation package in Python, includes several methods for working with structured data such as CSV files. You might wish 6 min read Reading and Writing CSV Files in Python CSV (Comma Separated Values) format is one of the most widely used formats for storing and exchanging structured data between different applications, including databases and spreadsheets. CSV files store tabular data, where each data field is separated by a delimiter, typically a comma. Python provi 4 min read How to read numbers in CSV files in Python? Prerequisites: Reading and Writing data in CSV, Creating CSV files CSV is a Comma-Separated Values file, which allows plain-text data to be saved in a tabular format. These files are stored in our system with a .csv extension. CSV files differ from other spreadsheet file types (like Microsoft Excel 4 min read Like