Duplicating and Transforming Data in Dataframe

Question

I have a dataframe of football results. It is laid out in date order with a row for each game. Each row contains the name of the home team and away team in different columns along with the result.

I want to create a new dataframe that contains a series of all the games played by each team (home and away) in a column called "Team", a separate column for the Opponent and a third column for the Result.

Here’s an example of the original dataframe:

Date	Home	Away	Result
Sunday, 21 May 2017, 15:00	A	B	A
Thursday, 18 May 2017, 19:45	C	D	D
Wednesday, 17 May 2017, 19:45	E	A	E
Tuesday, 16 May 2017, 20:00	B	C	Draw

And this is what I want to achieve:

Date	Team	Opponent	Result
Sunday, 21 May 2017, 15:00	A	B	A
Wednesday, 17 May 2017, 19:45	A	E	E
Sunday, 21 May 2017, 15:00	B	A	A
Tuesday, 16 May 2017, 20:00	B	C	Draw
Tuesday, 16 May 2017, 20:00	C	B	Draw
Thursday, 18 May 2017, 19:45	C	D	D
Thursday, 18 May 2017, 19:45	D	C	D
Wednesday, 17 May 2017, 19:45	E	A	E

I am new to Pandas and don’t know where to start with this. Can anyone help?

Asked By: Robsmith

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Source

Answer 1

You can swap the names with rename and concat, optionally sort_values:

out = (pd.concat([df, df.rename(columns={'Home': 'Away', 'Away': 'Home'})])
         .sort_values(by=['Home', 'Away'], ignore_index=True)
      )

Output:

                            Date Home Away Result
0     Sunday, 21 May 2017, 15:00    A    B      A
1  Wednesday, 17 May 2017, 19:45    A    E      E
2     Sunday, 21 May 2017, 15:00    B    A      A
3    Tuesday, 16 May 2017, 20:00    B    C   Draw
4    Tuesday, 16 May 2017, 20:00    C    B   Draw
5   Thursday, 18 May 2017, 19:45    C    D      D
6   Thursday, 18 May 2017, 19:45    D    C      D
7  Wednesday, 17 May 2017, 19:45    E    A      E

Answered By: mozway

Duplicating and Transforming Data in Dataframe

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