# ds1000 / 569 - 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 ``` # 569: DS-1000 Task ## Prompt import matplotlib import matplotlib.pyplot as plt import pandas as pd df = pd.DataFrame( { "celltype": ["foo", "bar", "qux", "woz"], "s1": [5, 9, 1, 7], "s2": [12, 90, 13, 87], } ) # For data in df, make a bar plot of s1 and s1 and use celltype as the xlabel # Make the x-axis tick labels rotate 45 degrees # SOLUTION START ## 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