# ds1000 / 294

- 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

```
# 294: DS-1000 Task

## Prompt
Problem:
I want to figure out how to remove nan values from my array. 
For example, My array looks something like this:
x = [[1400, 1500, 1600, nan], [1800, nan, nan ,1700]] #Not in this exact configuration
How can I remove the nan values from x?
Note that after removing nan, the result cannot be np.array due to dimension mismatch, so I want to convert the result to list of lists.
x = [[1400, 1500, 1600], [1800, 1700]]
A:
<code>
import numpy as np
x = np.array([[1400, 1500, 1600, np.nan], [1800, np.nan, np.nan ,1700]])
</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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