Lesson·difficulty 2/5·~15 min
Split a time-ordered dataset
Read the task → edit your code → Run to see the output → Run tests to check your answer.
Implement split_history(rows, train_count).
rows is already ordered oldest to newest. Return [training_rows, test_rows], taking the first train_count rows for training. train_count is an integer in [0, len(rows)]. Keep order and do not modify rows. Return two separate lists.
Before coding, predict one result by hand. After the tests pass, explain your approach and add a boundary example of your own.
Tests
- Case 1
- Case 2
- Case 3
- Case 4
✦ Need help with this task?
Sign in or create a free account to get AI help. Free includes a monthly AI allowance.
warming up
Loading editor…
Consolewaiting
$ Console output will appear here.