# ds1000 / 235

- 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

```
# 235: DS-1000 Task

## Prompt
Problem:
I have the following dataframe:
  text
1 "abc" 
2 "def" 
3 "ghi"
4 "jkl" 


How can I merge these rows into a dataframe with a single row like the following one Series?
0    abc, def, ghi, jkl
Name: text, dtype: object

A:
<code>
import pandas as pd


df = pd.DataFrame({'text': ['abc', 'def', 'ghi', 'jkl']})
</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`).
```
---
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