Groupby，价值计数并计算熊猫百分比

Question

我有一个分组依据state，一个数据帧的值计数industry。

df.loc[df['state'].isin(['Alabama','Arizona'])].groupby(df['state'])['industry'].value_counts(sort = True)

出局：

state    industry                              
Alabama  Financial Services                        224
         Education                                   7
         Healthcare, Pharmaceuticals, & Biotech      5
         Business Services                           2
         Other                                       2
         Retail                                      2
         Government                                  1
         Manufacturing                               1
         Transportation & Storage                    1
Arizona  Healthcare, Pharmaceuticals, & Biotech     19
         Other                                      13
         Education                                   5
         Retail                                      5
         Transportation & Storage                    5
         Manufacturing                               4
         Travel, Recreation, and Leisure             4
         Consumer Services                           3
         Energy & Utilities                          2
         Financial Services                          2
         Government                                  2
         Business Services                           1
         Computers & Electronics                     1
         Software & Internet                         1
Name: industry, dtype: int64

现在，我想走得更远，获得价值计数的百分比，例如，对于Alabama，我想知道Financial Services的百分比，该百分比由224/ (224 + 7 + ... + 1)计算得出，等

如何使用新代码或修改上面的代码来做到这一点？谢谢。

Answer 1

添加normalize

df.loc[df['state'].isin(['Alabama','Arizona'])].groupby(df['state'])['industry'].value_counts(sort = True, normalize=True)