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:
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:
