熊猫折叠行数据

Question

熊猫新手，我正在这里学习。 我有一个看起来像这样的数据框：

Relinquished Degree Count DTD DNP outindefinitely seasonout 
-----------------------------------------------------------
player1        1      1    1    
player1        3      1                1

“程度”列中的值在1到4的范围内，它表示伤害程度（DTD，DNP，无限期，反季节）。 如何合并“已放弃”列下具有相同玩家名称的两行？ 预期输出：

Relinquished DTD DNP outindefinitely seasonout 
-----------------------------------------------------------
player1        1        1

提前谢谢！

Answer 1

您不能先进行replace missing values to empty strings，然后再聚合sum：

df = df.groupby('Relinquished').sum()

如果要指定总和列：

print (df)
  Relinquished  Degree  Count  DTD  DNP  outindefinitely  seasonout
0      player1       1      1  1.0  NaN              NaN        NaN
1      player1       3      1  NaN  NaN              1.0        NaN

df = df.groupby('Relinquished')['DTD','DNP','outindefinitely','seasonout'].sum()
print (df)
              DTD  DNP  outindefinitely  seasonout
Relinquished                                      
player1       1.0  0.0              1.0        0.0

Answer 2

df.groupby('Relinquished').sum()