Python Pivot Table margins=True不能很好地求和

我有以下代码：

import pandas as pd
df=pd.read_csv("https://www.dropbox.com/s/90y07129zn351z9/test_data.csv?dl=1", encoding="latin-1")
pvt_received=df.pivot_table(index=['site'], values = ['received','sent'], aggfunc = {  'received' : 'count' ,'sent': 'count'}, fill_value=0, margins=True) 
pvt_received['to_send']=pvt_received['received']-pvt_received['sent']
column_order = ['received', 'sent','to_send']
pvt_received_ordered = pvt_received.reindex_axis(column_order, axis=1)
pvt_received_ordered.to_csv("test_pivot.csv")
table_to_send = pd.read_csv('test_pivot.csv', encoding='latin-1')
table_to_send.rename(columns={'site':'Site','received':'Date Received','sent':'Date Sent','to_send':'Date To Send'}, inplace=True)
table_to_send.set_index('Site', inplace=True)
table_to_send

将生成此表：

      Date Received       Date Sent       Date To Send
Site            
2         32.0             27.0           5.0
3         20.0             17.0           3.0
4         33.0             31.0           2.0
5         40.0             31.0           9.0
All       106.0            106.0          0.0

---

但此参数margins=True不能给出每列总和的正确结果。例如，接收日期应为125而不是106，发送日期应为106（正确），发送日期应为19而不是0.0（零）。问题：我应该改变什么才能得到正确的数字？此外，还缺少对所有行进行求和的功能。提前非常感谢。

从您的代码中可以看出，在构建透视表之后，您创建了要发送的日期，因此它只是给您以下结果：

106.0-106.0

。此外，分组后的边距值默认为

dropna=True

，这意味着任何带有

NaN

或

NaT

的行都将被删除。设置

dropna=False应该可以解决此问题

我重构了您的代码，将
接收的
和
发送的
列转换为
日期时间
格式，然后创建透视表和
发送的
列

df2 = pd.read_csv(
         "https://www.dropbox.com/s/90y07129zn351z9/test_data.csv?dl=1"
         ,encoding="latin-1")
df2['received'] = pd.to_datetime(df2['received'])
df2['sent'] = pd.to_datetime(df2['sent'])

然后创建最初计划的透视表

pvt_received = df2.pivot_table(index=['site'], values=['received','sent'],\
    aggfunc='count', margins=True, dropna=False)

pvt_received['to_send'] = pvt_received['received'] - pvt_received['sent']
pvt_received.rename(columns={'site':'Site'
                             ,'received':'Date Received'
                             ,'sent':'Date Sent'
                             ,'to_send':'Date To Send'}
                             ,inplace=True)
pvt_received

        Date Received   Date Sent   Date To Send
Site            
2       32              27          5
3       20              17          3
4       33              31          2
5       40              31          9
All     125             106         25

从至发送的值错误，发送日期应为19而不是106。