How to read csv file with Pandas without header?

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)

Approach

• Import module
• Read file
• Set header to None
• Display data 

Let us first see how data is displayed with headers, to make difference crystal clear.

Data file used:

• file.csv
• sample.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: