Question

我想对每个名称（TRD_STCK_CD）和日期（TRD_EVENT_TM）变量的体积变量求和。

以下是我的数据示例：

+--------------+--------------+-------------+--------+------------+---------
| TRD_EVENT_DT | TRD_EVENT_TM | TRD_STCK_CD | TRD_EVENT_ROUFOR |  VOLUME  |
+--------------+--------------+-------------+--------+------------+---------
| 3/24/2008    | 12:28:01     | ALBZ1       | 12:30            | 15370000 |
| 3/24/2008    | 13:13:44     | ALBZ1       | 13:00            |    15670 |
| 3/24/2008    | 12:20:38     | AZAB1       | 12:30            |  6830000 |
| 3/24/2008    | 13:13:44     | AZAB1       | 13:00            |     6950 |
| 3/24/2008    | 9:14:57      | BALI1       | 9:00             |  7871000 |
| 3/24/2008    | 9:15:06      | BALI1       | 9:30             |  1700000 |
| 3/24/2008    | 9:15:14      | BALI1       | 9:30             |  8500000 |
| 3/24/2008    | 9:15:24      | BALI1       | 9:30             |  5100000 |
| 3/24/2008    | 9:29:27      | BALI1       | 9:30             |  8500000 |
| 3/24/2008    | 12:28:00     | BALIl       | 12:30            |  8500000 |
| 3/24/2008    | 12:28:07     | BALIl       | 12:30            |  8500000 |
| 3/24/2008    | 13:13:44     | BALI1       | 13:00            |     8650 |
+--------------+--------------+-------------+--------+------------+---------

我删除了一些col。为简单起见。在下一步中，我想要一个如下表：

+--------------+--------------+-------------+--------+------------+---------
| TRD_EVENT_DT | TRD_EVENT_TM | TRD_STCK_CD | TRD_EVENT_ROUFOR |  VOLUME  | volume_Sum |
+--------------+--------------+-------------+--------+------------+---------
| 3/24/2008    | 12:28:01     | ALBZ1       | 12:30            | 15370000 |            |
| 3/24/2008    | 13:13:44     | ALBZ1       | 13:00            |    15670 |   15385670 |
| 3/24/2008    | 12:20:38     | AZAB1       | 12:30            |  6830000 |            |
| 3/24/2008    | 13:13:44     | AZAB1       | 13:00            |     6950 |    6836950 |
| 3/24/2008    | 9:14:57      | BALI1       | 9:00             |  7871000 |            |
| 3/24/2008    | 9:15:06      | BALI1       | 9:30             |  1700000 |            |
| 3/24/2008    | 9:15:14      | BALI1       | 9:30             |  8500000 |            |
| 3/24/2008    | 9:15:24      | BALI1       | 9:30             |  5100000 |            |
| 3/24/2008    | 9:29:27      | BALI1       | 9:30             |  8500000 |            |
| 3/24/2008    | 12:28:00     | BALIl       | 12:30            |  8500000 |            |
| 3/24/2008    | 12:28:07     | BALIl       | 12:30            |  8500000 |            |
| 3/24/2008    | 13:13:44     | BALI1       | 13:00            |     8650 |   48679650 |
+--------------+--------------+-------------+--------+------------+---------

请注意最后一栏。它是通过对具有相同TRD_STCK_CD var的卷求和而生成的。所以每个TRD_STCK_CD都是。只有一个Volume_Sum数据。

Answer 1

同一想法的实现略有不同：

/*Sort by TRD_STCK_CD and temporal variables.*/
proc sort data=have out=have_sorted;
    by  TRD_STCK_CD
        TRD_EVENT_DT
        TRD_EVENT_TM;
run;

/*Sum VOLUME until the last of each TRD_STCK_CD is reached.*/
data want;
    set have_sorted;
    by  TRD_STCK_CD
        TRD_EVENT_DT
        TRD_EVENT_TM;
    retain tmp_volume_sum;
    tmp_volume_sum + VOLUME;
    if last.TRD_STCK_CD then do;
        Volume_Sum = tmp_volume_sum;
        call missing(tmp_volume_sum);
    end;
    drop tmp_:;
run;

Answer 2

我将这更简化为只有2列的东西。代码和卷。

以下是示例表创建：

data have;
do code = 'a','b','c';
    do i=1 to floor(5*ranuni(1))+1;
        volume = floor(500*ranuni(1));
        output;
    end;
end;
drop i;
run;

首先使用PROC SQL对按代码分组的卷进行求和。将其保存在表中并在代码上放置索引。

proc sql noprint;
create table sums as
select code, sum(volume) as volume_sum
from have
group by code;

create index code on sums;
quit;

我假设您已按代码对表格进行了排序。如果没有，请这样做。

现在我们运行我们拥有的数据。将volume_sum设置为null。如果我们在该代码的最后一条记录上，则从SUMS表中查找值。

data want;
set have;
by code;

volume_sum = .;
if last.code then
    set sums key=code;
run;

印刷我得到：

                               code    volume      volume_sum

                                a        485        485
                                b        129          .
                                b        460        589
                                c        271          .
                                c        265          .
                                c         24          .
                                c         33          .
                                c        409       1002

如何根据表中的其他变量对变量求和？

2 个答案: