# ds1000 / 169 - 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 ``` # 169: DS-1000 Task ## Prompt Problem: I have a dataFrame with rows and columns that sum to 0. A B C D 0 1 1 0 1 1 0 0 0 0 2 1 0 0 1 3 0 1 0 0 4 1 1 0 1 The end result should be A B D 0 1 1 1 2 1 0 1 3 0 1 0 4 1 1 1 Notice the rows and columns that only had zeros have been removed. A: <code> import pandas as pd df = pd.DataFrame([[1,1,0,1],[0,0,0,0],[1,0,0,1],[0,1,0,0],[1,1,0,1]],columns=['A','B','C','D']) </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