创建数据透视表以显示计数并将缺少的月份添加为列

Question

原始表

id month
1  10/2017
1  10/2017
1  11/2017
2  1/2017
2  3/2017
3  9/2016
3  9/2016
3  5/2017
3  6/2017
3  6/2017
3  10/2017

更新表：

id  9/2016 10/2016 11/2016 12/2016 1/2017 2/2017 3/2017 4/2017 5/2017 6/2017 7/2017 8/2017 9/2017 10/2017 11/2017
1   0      0       0       0       0      0      0      0      0      0      0      0      0      2       1
2   0      0       0       0       1      0      1      0      0      0      0      0      0      0       0
3   2      0       0       0       0      0      0      0      1      0      0      0      0      1       0

我通常使用python和pandas，所以我不确定如何在SQL中执行此操作。

任何帮助将不胜感激。

更新为查询

select
    sum(case when quarter = '2006-07-01' THEN 1 ELSE 0 END) AS '2006Q3',
    sum(case when quarter = '2006-10-01' THEN 1 ELSE 0 END) AS '2006Q4',
    sum(case when quarter = '2007-01-01' THEN 1 ELSE 0 END) AS '2007Q1',
    sum(case when quarter = '2007-04-01' THEN 1 ELSE 0 END) AS '2007Q2',
...
from trans_v3
group by core_id

Answer 1

好吧，你可以蛮力：

SELECT SUM(CASE WHEN month = '9/2016' THEN 1 ELSE 0 END) AS 201609
     , SUM(CASE WHEN month = '10/2016' THEN 1 ELSE 0 END) AS 201610
...
FROM t
GROUP BY id