Add row with specific index name:

import pandas as pd

employees = pd.DataFrame(
    data={'Name': ['John Doe', 'William Spark'],
          'Occupation': ['Chemist', 'Statistician'],
          'Date Of Join': ['2018-01-25', '2018-01-26'],
          'Age': [23, 24]},
    index=['Emp001', 'Emp002'],
    columns=['Name', 'Occupation', 'Date Of Join', 'Age'])

print("\n------------ BEFORE ----------------\n")
print(employees)

employees.loc['Emp003'] = ['Sunny', 'Programmer', '2018-01-25', 45]

print("\n------------ AFTER ----------------\n")
print(employees)

C:\pandas>python example22.py
 
------------ BEFORE ----------------
 
                 Name    Occupation Date Of Join  Age
Emp001       John Doe       Chemist   2018-01-25   23
Emp002  William Spark  Statistician   2018-01-26   24
 
------------ AFTER ----------------
 
                 Name    Occupation Date Of Join  Age
Emp001       John Doe       Chemist   2018-01-25   23
Emp002  William Spark  Statistician   2018-01-26   24
Emp003          Sunny    Programmer   2018-01-25   45
 
C:\pandas>