Preserve full surname, get initials of first name (and middle name if some) in pandas column

stud_eco :

I have a pandas Dataframe with a column expressing the surname and name of several tennis players like the following one:

   | Player              | 
   |---------------------|
0  | 'Roddick Andy'      |
1  | 'Federer Roger'     |
2  | 'Tsonga Jo Wilfred  |

I want to keep the full surname and get the initial of the name and middle name if there is. So the pandas column should look like the following one:

   | Player            | 
   |-------------------|
0  | 'Roddick A.'      |
1  | 'Federer R.'      |
2  | 'Tsonga J.W.'     | N.B. J.W. with no space

Does anyone have suggestions? Thank!

Quang Hoang :

Here's an approach with str.extractall and groupby:

(df.Player
  .str.extractall('(?P<Surname>\w*)\s(?P<Name>\w*)')
  .groupby(level=0)
  .agg({'Surname':'first',
        'Name': lambda x: x.str[0].add('.').sum()
        })
  .agg(' '.join, axis=1)
)

Output:

0     Roddick A.
1     Federer R.
2    Tsonga J.W.
dtype: object