Pandas - 数据框架 - 重塑数据框中的值

Question

I am new to Pandas and have a data frame with a team's score in 2 separate columns. This is what I have.

Game_ID Teams   Score

1    Team A  95
1    Team B  85
2    Team C  90
2    Team D  72

This is where I would like to get to and then ideally to.

1   Team A  95 Team B  94
2   Team C  90 Team B  72 

Answer 1

You can try something as follows: Create a row_id within each group by the Game_ID and then unstack by the row_id which will transform your data to wide format:

import pandas as pd
df['row_id'] = df.groupby('Game_ID').Game_ID.transform(lambda g: pd.Series(range(g.size)))
df.set_index(['row_id', 'Game_ID']).unstack(level=0).sortlevel(level = 1, axis = 1)

Update :

If the row_id is preferred to be dropped, you can drop the level from the columns:

df1 = df.set_index(['row_id', 'Game_ID']).unstack(level=0).sortlevel(level = 1, axis = 1)   
df1.columns = df1.columns.droplevel(level = 1)
df1

Answer 2

Knowing that games always involve exactly 2 teams, we can manipulate the underlying numpy array.

pd.DataFrame(df.values[:, 1:].reshape(-1, 4),
             pd.Index(df.values[::2, 0], name='Game_ID'),
             ['Team', 'Score'] * 2)