Python 3.x 大熊猫分组和条件比率

我想根据一个条件来计算计数的比率，我正在努力使用

pandas

数据帧来获得正确的计数比率

数据如下：

                   JOB_ROLE           COMMENTS ACTIVITY_TYPE  COUNTS  
             Director-Level  Meeting Requested     EmailSend     490    
              Manager-Level  Meeting Requested     EmailSend     305  
             Non-Managerial  Meeting Requested     EmailSend     272  
     Top Executive; C-Level  Meeting Requested     EmailSend     226  
                   VP-Level  Meeting Requested     EmailSend     185
             Director-Level  Meeting Requested    FormSubmit     131
              Manager-Level  Meeting Requested    FormSubmit      74
     Top Executive; C-Level  Meeting Requested    FormSubmit      61
                   VP-Level  Meeting Requested    FormSubmit      53
             Non-Managerial  Meeting Requested    FormSubmit      52
                      Other  Meeting Requested     EmailSend      20
                      Other  Meeting Requested    FormSubmit       2

ratios =  mr_jr.groupby('JOB_ROLE').apply(lambda x: x[x['ACTIVITY_TYPE']=='FormSubmit'].COUNTS / x[x['ACTIVITY_TYPE']=='EmailSend'].COUNTS)

我的尝试如下：

                   JOB_ROLE           COMMENTS ACTIVITY_TYPE  COUNTS  
             Director-Level  Meeting Requested     EmailSend     490    
              Manager-Level  Meeting Requested     EmailSend     305  
             Non-Managerial  Meeting Requested     EmailSend     272  
     Top Executive; C-Level  Meeting Requested     EmailSend     226  
                   VP-Level  Meeting Requested     EmailSend     185
             Director-Level  Meeting Requested    FormSubmit     131
              Manager-Level  Meeting Requested    FormSubmit      74
     Top Executive; C-Level  Meeting Requested    FormSubmit      61
                   VP-Level  Meeting Requested    FormSubmit      53
             Non-Managerial  Meeting Requested    FormSubmit      52
                      Other  Meeting Requested     EmailSend      20
                      Other  Meeting Requested    FormSubmit       2

ratios =  mr_jr.groupby('JOB_ROLE').apply(lambda x: x[x['ACTIVITY_TYPE']=='FormSubmit'].COUNTS / x[x['ACTIVITY_TYPE']=='EmailSend'].COUNTS)

将条件应用于每组并执行算术的正确方法是什么

先谢谢你

已编辑

期望输出：

---

看起来像是数据透视表的作业

piv=df.pivot（'JOB\u ROLE'，'ACTIVITY\u TYPE'）。计数

输出：

In [119]: piv.FormSubmit / piv.EmailSend
Out[119]: 
JOB_ROLE
Director-Level            0.267347
Manager-Level             0.242623
Non-Managerial            0.191176
Other                     0.100000
Top Executive; C-Level    0.269912
VP-Level                  0.286486
dtype: float64

没有枢轴：

df.set_index('JOB_ROLE', drop=True, inplace=True)
emails = df[df.ACTIVITY_TYPE == 'EmailSend']
forms  = df[df.ACTIVITY_TYPE == 'FormSubmit']
print(forms.COUNTS / emails.COUNTS)

---

你想要的输出是什么？@ScottBoston:对不起，编辑好了！非常感谢。这是一个很酷的把戏。有没有一种方法可以不使用

pivot

，或者使用

groupby

和

apply

。虽然如果每个（作业\角色、活动\类型）对只出现一次，但可能不需要groupby。实际上，我发布的示例数据是一个

groupby

的结果，这就是原因，您每对只能看到一行。谢谢你的帮助。