Q:

Python: drop duplicated index in pandas dataframe

I have the date as below and the Date as Index. I want to remove the duplicated Date
           Stock      Open      High       Low     Close Adj Close  Volume
Date                                                                      
2016-05-13   AAD  5.230000  5.260000  5.200000  5.260000  5.260000    5000
2016-05-16   AAD  5.220000  5.260000  5.220000  5.260000  5.260000    6000
2016-05-17   AAD  5.210000  5.260000  5.210000  5.260000  5.260000    2000
2016-05-17   AAD  5.210000  5.260000  5.210000  5.260000  5.260000    2000
2016-05-18   AAD  5.200000  5.250000  5.200000  5.250000  5.250000    3000 

The output I needed
           Stock      Open      High       Low     Close Adj Close  Volume
Date                                                                      
2016-05-13   AAD  5.230000  5.260000  5.200000  5.260000  5.260000    5000
2016-05-16   AAD  5.220000  5.260000  5.220000  5.260000  5.260000    6000
2016-05-17   AAD  5.210000  5.260000  5.210000  5.260000  5.260000    2000
2016-05-18   AAD  5.200000  5.250000  5.200000  5.250000  5.250000    3000  

I try by using df.drop_duplicates() and the output delete extra lines after the duplicated date.
          Stock      Open      High       Low     Close Adj Close  Volume
Date                                                                      
2016-05-13   AAD  5.230000  5.260000  5.200000  5.260000  5.260000    5000
2016-05-16   AAD  5.220000  5.260000  5.220000  5.260000  5.260000    6000
2016-05-17   AAD  5.210000  5.260000  5.210000  5.260000  5.260000    2000

A:

Let's use the information Jezrael provided.
Input Dataframe:
print(df)
           Stock  Open  High   Low  Close  Adj Close  Volume
2016-05-13   AAD  5.23  5.26  5.20   5.26       5.26    5000
2016-05-16   AAD  5.22  5.26  5.22   5.26       5.26    6000
2016-05-17   AAD  5.21  5.26  5.21   5.26       5.26    2000
2016-05-17   AAD  5.21  5.26  5.21   5.26       5.26    2000
2016-05-18   AAD  5.20  5.25  5.20   5.25       5.25    3000

df1 = df[~df.index.duplicated(keep='last')]
print(df1)

Output:
           Stock  Open  High   Low  Close  Adj Close  Volume
2016-05-13   AAD  5.23  5.26  5.20   5.26       5.26    5000
2016-05-16   AAD  5.22  5.26  5.22   5.26       5.26    6000
2016-05-17   AAD  5.21  5.26  5.21   5.26       5.26    2000
2016-05-18   AAD  5.20  5.25  5.20   5.25       5.25    3000

