Python 数据帧中加权平均的计算

在福勒。数据帧：

                              Potential     Area       weight  
NAME                                                                    
Ket                              21.694198   61730.10  0.028773  
Chles                            31.023133  101288.07  0.047211  
Caline                           23.066401   68515.47  0.031936  
Algany                           22.794050  109111.05  0.050858  
Baire                            3.176830   20763.54  0.009678 

如何为每列添加一个新行，该行包含该列与

权重

列的乘积之和？我试过这个：

df.loc['new_row'] = df.mean() * df['weight']

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这里有一种使用NumPy的方法：

# calculate sum of products
sums = (df.iloc[:, :2].values * df['weight'].values[:, None]).sum(0).tolist()

# assign to index label
df.loc['MeanWeightProd'] = sums + [np.nan]

print(df)

                Potential           Area    weight
NAME                                              
Ket             21.694198   61730.100000  0.028773
Chles           31.023133  101288.070000  0.047211
Caline          23.066401   68515.470000  0.031936
Algany          22.794050  109111.050000  0.050858
Baire            3.176830   20763.540000  0.009678
MeanWeightProd   4.015494   14496.300611       NaN

（df[“潜在”、“面积”]*df[“重量”]）.sum（）