# ds1000 / 140

- 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

```
# 140: DS-1000 Task

## Prompt
Problem:
I am performing a query on a DataFrame:
Index Category
1     Foo
2     Bar
3     Cho
4     Foo


I would like to return the rows where the category is not "Foo" or "Bar".
When I use the code:
df.query("Catergory!=['Foo','Bar']")


This works fine and returns:
Index Category
3     Cho


However in future I will want the filter to be changed dynamically so I wrote:
filter_list=['Foo','Bar']
df.query("Catergory!=filter_list")


Which threw out the error:
UndefinedVariableError: name 'filter_list' is not defined


Other variations I tried with no success were:
df.query("Catergory"!=filter_list)
df.query("Catergory!="filter_list)


Respectively producing:
ValueError: expr must be a string to be evaluated, <class 'bool'> given
SyntaxError: invalid syntax


A:
<code>
import pandas as pd


df=pd.DataFrame({"Category":['Foo','Bar','Cho','Foo'],'Index':[1,2,3,4]})
filter_list=['Foo','Bar']
</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
