Python - Name columns explicitly in a Pandas DataFrame

To name columns explicitly, use the names parameter of the read_csv() method. Let’s say the following is our CSV file without headers opened in Microsoft Excel −

Let us load data from CSV file and with that add header columns using the names parameter −

pd.read_csv("C:\Users\amit_\Desktop\TeamData.csv",names=['Team', 'Rank_Points', 'Year'])

Example

Following is the complete code −

import pandas as pd

# Load data from a CSV file into a Pandas DataFrame
dataFrame = pd.read_csv("C:\Users\amit_\Desktop\TeamData.csv")
print("Reading the CSV file without headers...\n", dataFrame)

# adding headers
dataFrame = pd.read_csv("C:\Users\amit_\Desktop\TeamData.csv",names=['Team', 'Rank_Points', 'Year'])

# reading updated CSV
print("\nReading the CSV file after updating headers...\n", dataFrame)

Output

This will produce the following output −

Reading the CSV file without headers...
    Australia   2500   2021
0  Bangladesh   1000   2021
1     England   2000   2021
2       India   3000   2021
3    Srilanka   1500   2021

Reading the CSV file after updating headers...
         Team   Rank_Points   Year
0   Australia          2500   2021
1  Bangladesh          1000   2021
2     England          2000   2021
3       India          3000   2021
4    Srilanka          1500   2021