Adding row to DataFrame with time stamp index:

import pandas as pd

df = pd.DataFrame(columns=['Name', 'Age'])

df.loc['2014-05-01 18:47:05', 'Name'] = 'Rocky'
df.loc['2014-05-01 18:47:05', 'Age'] = 21

df.loc['2014-05-02 18:47:05', 'Name'] = 'Sunny'
df.loc['2014-05-02 18:47:05', 'Age'] = 22

df.loc['2014-05-03 18:47:05', 'Name'] = 'Mark'
df.loc['2014-05-03 18:47:05', 'Age'] = 25

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

line = pd.to_datetime("2014-05-01 18:50:05", format="%Y-%m-%d %H:%M:%S")
new_row = pd.DataFrame([['Bunny', 26]], columns=['Name', 'Age'], index=[line])
df = pd.concat([df, pd.DataFrame(new_row)], ignore_index=False)

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

C:\pandas>python example36.py
 
------------ BEFORE ----------------
 
                      Name Age
2014-05-01 18:47:05  Rocky  21
2014-05-02 18:47:05  Sunny  22
2014-05-03 18:47:05   Mark  25
 
------------ AFTER ----------------
 
                      Name Age
2014-05-01 18:47:05  Rocky  21
2014-05-02 18:47:05  Sunny  22
2014-05-03 18:47:05   Mark  25
2014-05-01 18:50:05  Bunny  26
 
C:\pandas>pep8 example36.py
 
C:\pandas>