How to read csv file with Pandas without header? Last Updated : 03 Mar, 2021 Comments Improve Suggest changes Like Article Like Report Prerequisites: Pandas A header of the CSV file is an array of values assigned to each of the columns. It acts as a row header for the data. This article discusses how we can read a csv file without header using pandas. To do this header attribute should be set to None while reading the file. Syntax: read_csv("file name", header=None) ApproachImport moduleRead fileSet header to NoneDisplay data Let us first see how data is displayed with headers, to make difference crystal clear. Data file used: file.csvsample.csv Example1: Python3 # importing python package import pandas as pd # read the contents of csv file dataset = pd.read_csv("file.csv") # display the modified result display(dataset) Output: Now let us see the implementation without headers. Example 2: Python3 # importing python package import pandas as pd # read the contents of csv file dataset = pd.read_csv("file.csv", header=None) # display the modified result display(dataset) Output: Example 3: Python3 # importing python package import pandas as pd # read the content of csv file dataset = pd.read_csv("sample1.csv", header=None) # display modified csv file display(dataset) Output: Comment More infoAdvertise with us Next Article How to read csv file with Pandas without header? _sh_pallavi Follow Improve Article Tags : Technical Scripter Python Technical Scripter 2020 Python-pandas Python pandas-io +1 More Practice Tags : python Similar Reads How to Read Text Files with Pandas? In this article, we will discuss how to read text files with pandas in Python. In Python, the Pandas module allows us to load DataFrames from external files and work on them. The dataset can be in different types of files.Text File UsedRead Text Files with PandasBelow are the methods by which we can 6 min read How to Read JSON Files with Pandas? JSON (JavaScript Object Notation) store data using key-value pairs. Reading JSON files using Pandas is simple and helpful when you're working with data in .json format. There are mainly three methods to read Json file using Pandas Some of them are:Using pd.read_json() MethodUsing JSON Module and pd. 2 min read How to Read CSV Files with NumPy? Reading CSV files is a common task when working with data in Python. In this article we will see how to read CSV files using Numpy's loadtxt() and genfromtxt() methods.1. Using NumPy loadtxt() methodThe loadtext() method is faster and simpler for reading CSV files. It is best when the file has consi 2 min read How to read all CSV files in a folder in Pandas? Our task is to read all CSV files in a folder into single Pandas dataframe. The task can be performed by first finding all CSV files in a particular folder using glob() method and then reading the file by using pandas.read_csv() method and then displaying the content.ApproachImport Required Librarie 2 min read How to skip rows while reading csv file using Pandas? Python is a good language for doing data analysis because of the amazing ecosystem of data-centric python packages. Pandas package is one of them and makes importing and analyzing data so much easier. Here, we will discuss how to skip rows while reading csv file. We will use read_csv() method of Pan 3 min read Like