Добавление строки и столбца к сводной таблице завершается неудачно - PullRequest
0 голосов
/ 10 января 2019

Я хочу отобразить общее количество строк и столбцов. Я использую margin = True, но на выходе не отображается общее количество строк, как показано ниже, и вывод:

import pandas as pd
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'])


pvt_all = df2.dropna(axis=0, how='all', subset=['received', 'sent'])\
    .pivot_table(index=['site'], values=['received','sent'],\
    aggfunc='count', margins=True, dropna=False)
pvt_all['to_send']= pvt_all['received']-pvt_all['sent'] 
pvt_all=pvt_all[['received','sent','to_send']] 
pvt_all

received    sent    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 125.0   106.0   19.0

Пример данных ниже, чтобы облегчить вам, кроме того, это длинный. Вы также можете найти в URL-адресе, указанном выше в векторе df. DataFrame состоит из четырех переменных: дата, сайт, получено и отправлено.

date    site    received    sent
7/10/2018   2       
7/10/2018   2       
7/11/2018   2       
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7/10/2018   2   7/10/2018 12:26 7/11/2018 10:25
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7/19/2018   2   7/19/2018 14:22 7/25/2018 10:35
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7/23/2018   2       
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Ответы [ 2 ]

0 голосов
/ 19 января 2019
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'])

import pandas as pd
pvt_all = df2.dropna(axis=0, how='all', subset=['received', 'sent'])\
    .pivot_table(index=['site'], values=['received','sent'],\
    aggfunc='count', margins=True, dropna=False)
pvt_all['to_send']= pvt_all['received']-pvt_all['sent'] 
#pvt_all['Total'] = pvt_all.received + pvt_all.sent + pvt_all.to_send
pvt_all['Total'] = pvt_all.sum(axis=1) #Add Total column for row subtotal \
#and Total
pvt_all=pvt_all[['received','sent','to_send','Total']] 
pvt_all


received    sent    to_send Total
site                
2   32.0    27.0    5.0 64.0
3   20.0    17.0    3.0 40.0
4   33.0    31.0    2.0 66.0
5   40.0    31.0    9.0 80.0
All 125.0   106.0   19.0    250.0
0 голосов
/ 11 января 2019

Попробуйте, используя eval:

df2.dropna(axis=0, how='all', subset=['received', 'sent'])\
    .pivot_table(index='site', values=['received','sent'],\
    aggfunc='count', margins=True, dropna=False).eval('Total = received + sent')

Выход:

      received  sent  Total
site                       
2           32    27     59
3           20    17     37
4           33    31     64
5           40    31     71
All        125   106    231
...