# ds1000 / 113 - 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 ``` # 113: DS-1000 Task ## Prompt Problem: I have a pandas dataframe with a column which could have integers, float, string etc. I would like to iterate over all the rows and check if each value is integer and if not, I would like to create a list with integer values I have tried isnumeric(), but couldnt iterate over each row and write errors to output. I tried using iterrows() but it converts all values to float. ID Field1 1 1.15 2 2 3 1 4 25 5 and Expected Result: [2, 1, 25] A: <code> import pandas as pd df = pd.DataFrame({"ID": [1,2,3,4,5], "Field1": [1.15,2,1,25,"and"]}) </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