# ds1000 / 170

- 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

```
# 170: 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    2
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
2   1   0    1
3   0   1    0  
4   1   1    1 
Notice that the rows and columns with sum of 0 have been removed.


A:
<code>
import pandas as pd


df = pd.DataFrame([[-1,-1,0,2],[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`).
```
---
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