# ds1000 / 282 - 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 ``` # 282: DS-1000 Task ## Prompt Problem: I need to rename only the last column in my dataframe, the issue is there are many columns with the same name (there is a reason for this), thus I cannot use the code in other examples online. Is there a way to use something specific that just isolates the final column? I have tried to do something like this df.rename(columns={df.columns[-1]: 'Test'}, inplace=True) However this then means that all columns with that same header are changed to 'Test', whereas I just want the last one to change. I kind of need something like df.columns[-1] = 'Test' but this doesn't work. A: <code> import pandas as pd df = pd.DataFrame([[1, 2, 3], [4, 5, 6], [7, 8, 9]], columns=list('ABA')) </code> result = ... # 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