# ds1000 / 76

- 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

```
# 76: DS-1000 Task

## Prompt
Problem:
I have a simple dataframe which I would like to bin for every 3 rows.


It looks like this:


    col1
0      2
1      1
2      3
3      1
4      0
and I would like to turn it into this:


    col1
0      2
1    0.5
I have already posted a similar question here but I have no Idea how to port the solution to my current use case.


Can you help me out?


Many thanks!




A:
<code>
import pandas as pd


df = pd.DataFrame({'col1':[2, 1, 3, 1, 0]})
</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