Question

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

哪个生成此表：

      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

但是此参数margins = True没有给出正确的每列总计结果。例如，“接收的日期”应该是125，而不是106，“发送的日期”应该是106（正确），“发送的日期”应该是19，而不是0.0（零）。问题：我应该更改以获得正确的数字？另外，所有行上都缺少应做的总和。提前谢谢。

Answer 1

从您的代码看来，您是在构建数据透视表之后创建Date To Send的，因此它只是为您提供以下结果：106.0 - 106.0。同样，它们在分组后将边距值设置为calculated，且默认值为dropna=True，这意味着将删除具有NaN或NaT的行。设置dropna=False应该可以解决此问题。

我重构了您的代码，以在创建数据透视表和received列之前将sent和date_time列转换为to_send格式。

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'])

然后创建最初打算的数据透视表。

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

Python数据透视表页边距=正确加总不正确

1 个答案: