7.1 序列排序
1. 升序排序
2. 降序排序
3. 排序后的位置
4. 随机排序
SPL
A | B | |
---|---|---|
1 | [13,30,45,23,42,98,61] | |
2 | =A1.sort() | [13,23,30,42,45,61,98] |
3 | =A1.sort@z() | [98,61,45,42,30,23,13] |
4 | =A1.psort() | [1,4,2,5,3,7,6] |
5 | =A1.sort(rand()) | [30,13,98,45,42,23,61] |
SQL
1. 升序排序
SELECT *
FROM TABLE(sys.odcinumberlist(13,30,45,23,42,98,61))
ORDER BY COLUMN_VALUE;
2. 降序排序
SELECT *
FROM TABLE(sys.odcinumberlist(13,30,45,23,42,98,61))
ORDER BY COLUMN_VALUE DESC;
3. 排序后的位置
SELECT rn FROM(
SELECT seq.*,ROWNUM AS rn
FROM TABLE(sys.odcinumberlist(13,30,45,23,42,98,61)) seq)
ORDER BY COLUMN_VALUE;
4. 随机排序
SELECT *
FROM TABLE(sys.odcinumberlist(13,30,45,23,42,98,61))
ORDER BY dbms_random.value;
Python
seq = np.array([13, 30, 45, 23, 42, 98, 61])
seq_sorted_ascending = np.sort(seq) #[13,23,30,42,45,61,98]
seq_sorted_descending = np.sort(seq)[::-1] #[98,61,45,42,30,23,13]
sorted_positions = np.argsort(seq) #[0 3 1 4 2 6 5]
seq_random = np.random.permutation(seq) #[61 45 98 13 23 42 30]