Adding new column to existing DataFrame in Pandas
Add Column to DataFrame:
import pandas as pd employees = pd.DataFrame({ 'EmpCode': ['Emp001', 'Emp002', 'Emp003', 'Emp004', 'Emp005'], 'Name': ['John', 'Doe', 'William', 'Spark', 'Mark'], 'Occupation': ['Chemist', 'Statistician', 'Statistician', 'Statistician', 'Programmer'], 'Date Of Join': ['2018-01-25', '2018-01-26', '2018-01-26', '2018-02-26', '2018-03-16'], 'Age': [23, 24, 34, 29, 40]}) employees['City'] = ['London', 'Tokyo', 'Sydney', 'London', 'Toronto'] print(employees)
C:\python\pandas examples>python example9.py Age Date Of Join EmpCode Name Occupation City 0 23 2018-01-25 Emp001 John Chemist London 1 24 2018-01-26 Emp002 Doe Statistician Tokyo 2 34 2018-01-26 Emp003 William Statistician Sydney 3 29 2018-02-26 Emp004 Spark Statistician London 4 40 2018-03-16 Emp005 Mark Programmer Toronto C:\python\pandas examples>
2018-10-09T21:27:18+05:30
2018-10-09T21:27:18+05:30
Amit Arora
Amit Arora
Python Programming Tutorial
Python
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