3.22 Merge same-order sequences in the original order and calculate XOR
Merge records of two same-structure tables in the original order by a certain field and retain the non-duplicated records only.
Compare two random sampling files and find the number of their different IDs.
| ID | Predicted_Y | Original_Y |
|---|---|---|
| 10 | 0.012388464367608093 | 0.0 |
| 11 | 0.01519899123978988 | 0.0 |
| 13 | 0.0007920238885061248 | 0.0 |
| 19 | 0.0012656367468159102 | 0.0 |
| 21 | 0.009460545997473379 | 0.0 |
| 23 | 0.024176791871681664 | 0.0 |
| … | … | … |
SPL script:
| A | |
|---|---|
| 1 | =T(“p1.xlsx”) |
| 2 | =T(“p2.xlsx”) |
| 3 | =A1.sort(ID) |
| 4 | =A2.sort(ID) |
| 5 | =[A3,A4].merge@x(ID) |
| 6 | =A5.len() |
A1 Retrieve the first random sampling file.
A2 Retrieve the second random sampling file.
A3 Sort the first file by ID.
A4 Sort the second file by ID.
A5 merge function works with @x option to merge two files by ID and return records having different IDs.
A6 Get the number of different IDs.
Execution result:
| Value |
|---|
| 458 |
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