Я пытаюсь найти лучший и самый ясный способ представить эти экспортированные данные выделенными, показывая, какой процент записей дат находится в другом столбце. Импортированный файл будет таким, как на изображении.
Как я могу поместить это в таблицу?
Я использую Python для экспорта данных в текстовый файл для сейчас, но это некрасиво. Планирование использования Pandas для экспорта в формате CSV.
Требуется только процентное значение в показанной таблице, а не «Сопоставленные даты»
70.0% of System A's Entries match System B
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
13/12/2018 20:25
17/12/2018 08:10
17/12/2018 12:15
20/12/2018 20:25
90.0% of System A's Entries match System C
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
13/12/2018 20:25
17/12/2018 08:10
17/12/2018 12:15
20/12/2018 20:25
28/12/2018 16:20
29/12/2018 12:15
70.0% of System A's Entries match System D
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
13/12/2018 20:25
17/12/2018 08:10
17/12/2018 12:15
20/12/2018 20:25
50.0% of System A's Entries match System E
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
13/12/2018 20:25
17/12/2018 08:10
---
System B:
87.5% of System B's Entries match System A
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
13/12/2018 20:25
17/12/2018 08:10
17/12/2018 12:15
20/12/2018 20:25
87.5% of System B's Entries match System C
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
13/12/2018 20:25
17/12/2018 08:10
17/12/2018 12:15
20/12/2018 20:25
87.5% of System B's Entries match System D
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
13/12/2018 20:25
17/12/2018 08:10
17/12/2018 12:15
20/12/2018 20:25
62.5% of System B's Entries match System E
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
13/12/2018 20:25
17/12/2018 08:10
---
System C:
90.0% of System C's Entries match System A
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
13/12/2018 20:25
17/12/2018 08:10
17/12/2018 12:15
20/12/2018 20:25
28/12/2018 16:20
29/12/2018 12:15
70.0% of System C's Entries match System B
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
13/12/2018 20:25
17/12/2018 08:10
17/12/2018 12:15
20/12/2018 20:25
80.0% of System C's Entries match System D
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
10/12/2018 04:05
13/12/2018 20:25
17/12/2018 08:10
17/12/2018 12:15
20/12/2018 20:25
60.0% of System C's Entries match System E
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
10/12/2018 04:05
13/12/2018 20:25
17/12/2018 08:10
---
System D:
87.5% of System D's Entries match System A
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
13/12/2018 20:25
17/12/2018 08:10
17/12/2018 12:15
20/12/2018 20:25
87.5% of System D's Entries match System B
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
13/12/2018 20:25
17/12/2018 08:10
17/12/2018 12:15
20/12/2018 20:25
100.0% of System D's Entries match System C
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
10/12/2018 04:05
13/12/2018 20:25
17/12/2018 08:10
17/12/2018 12:15
20/12/2018 20:25
75.0% of System D's Entries match System E
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
10/12/2018 04:05
13/12/2018 20:25
17/12/2018 08:10
---
System E:
83.33% of System E's Entries match System A
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
13/12/2018 20:25
17/12/2018 08:10
83.33% of System E's Entries match System B
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
13/12/2018 20:25
17/12/2018 08:10
100.0% of System E's Entries match System C
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
10/12/2018 04:05
13/12/2018 20:25
17/12/2018 08:10
100.0% of System E's Entries match System D
Matched Dates:
03/12/2018 04:05
03/12/2018 12:15
09/12/2018 16:20
10/12/2018 04:05
13/12/2018 20:25
17/12/2018 08:10
importData