# ds1000 / 67 - taskset: [ds1000](https://harnessreport.com/tasks/ds1000.md) - difficulty: - category: - language: - runnable from the site: no - agent timeout: 1800s ## Results by harness _none yet_ ## Instruction ``` # 67: DS-1000 Task ## Prompt Problem: I have a table like this. user 01/12/15 02/12/15 someBool u1 100 None True u2 200 -100 False u3 None 200 True I want to repartition the date columns into two columns date and value like this. user date value someBool u1 01/12/15 100 True u2 01/12/15 200 False u2 02/12/15 -100 False u3 02/12/15 200 True How to do this in python ? Is pivot_table in pandas helpful? If possible provide code/psuedo code & give details on python version. A: <code> import pandas as pd df = pd.DataFrame({'user': ['u1', 'u2', 'u3'], '01/12/15': [100, 200, None], '02/12/15': [None, -100, 200], 'someBool': [True, False, True]}) </code> df = ... # put solution in this variable BEGIN SOLUTION <code> ## What to do - Edit `solution/solution.py` so the code passes the DS-1000 tests. - Do not access the internet or install new packages; required libraries are preinstalled in the Docker image. - Run tests locally via `bash tests/test.sh`. ## Notes - Keep the variable names/signatures implied by the prompt/code_context. - The evaluator uses the original DS-1000 `code_context` (`test_execution` / `test_string`). ``` --- Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp