in the following, can I make a single index for all the entries with common index.

```
cric = pd.Series(['India', 'Pakistan', 'South Africa', 'England', 'New Zealand'], 
                 index = ['Cricket', 'Cricket', 'Cricket', 'Cricket', 'Cricket'])
ftbl = pd.Series(['England', 'South Africa', 'Australia', 'Netherlands', 'New Zealand'], 
                 index = ['Football', 'Football', 'Football', 'Football' , 'Football'])
hock = pd.Series(['India', 'Pakistan', 'South Korea', 'England', 'India', 'New Zealand'], 
                 index = ['Hockey', 'Hockey', 'Hockey', 'Hockey', 'Hockey', 'Hockey'])

all_countries_1 = cric.append(ftbl)
all_countries_1 = all_countries_1.append(ftbl)
all_countries_1 = all_countries_1.append(hock)
all_countries_1 = all_countries_1.to_frame()
all_countries_1.columns = ['Countries']
all_countries_1

```

[![Actual Data](https://i.stack.imgur.com/CSKDW.png)](https://i.stack.imgur.com/CSKDW.png)

I want the following as my out
[![The Expected Output](https://i.stack.imgur.com/60LEV.png)](https://i.stack.imgur.com/60LEV.png)