Select multiple columns from 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]})

df = employees[['EmpCode', 'Age', 'Name']]
print(df)

C:\python\pandas examples>python example12.py
  EmpCode  Age     Name
0  Emp001   23     John
1  Emp002   24      Doe
2  Emp003   34  William
3  Emp004   29    Spark
4  Emp005   40     Mark
 
C:\python\pandas examples>