Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
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
Updated on: 01-Oct-2021
220 Views
Advertisements