Pandas Groupby两列之和，并在中创建新的数据帧

我有一个如下所示的数据帧

Player       Goal      Freekick
Messi        2         5
Ronaldo      1         4
Messi        1         4
Messi        0         5
Ronaldo      0         9
Ronaldo      1         8
Xavi         1         1
Xavi         0         7

从上面我想做的目标和任意球如下所示的总和分组

预期产出：

Player     toatal_goals      total_freekicks
Messi      3                 14
Ronaldo    2                 21
Xavi       1                 8

我尝试了以下代码：

df1 = df.groupby(['Player'])['Goal'].sum().reset_index().rename({'Goal':'toatal_goals'})
df1['total_freekicks'] = df.groupby(['Player'])['Freekick'].sum()

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但是上面的一个不起作用，请帮助我..

首先通过

Player

聚合

sum

，然后将列名转换为小写：

df = df.groupby('Player').sum().add_prefix('total_').rename(columns=str.lower)
print (df)
         total_goal  total_freekick
Player                             
Messi             3              14
Ronaldo           2              21
Xavi              1               8

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可以使用namedagg创建具有自定义列名的聚合

(
    df.groupby(by='Player')
    .agg(toatal_goals=('Goal', 'sum'),
         total_freekicks=('Freekick', 'sum'))
    .reset_index()
)

Player     toatal_goals      total_freekicks
Messi      3                 14
Ronaldo    2                 21
Xavi       1                 8

---

@jezrael是的，抱歉，我会在尝试输出中更正它