# ds1000 / 272

- 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

```
# 272: DS-1000 Task

## Prompt
Problem:
pandas version: 1.2
I have a dataframe that columns as 'float64' with null values represented as pd.NAN. Is there way to round without converting to string then decimal:
df = pd.DataFrame([(.21, .3212), (.01, .61237), (.66123, pd.NA), (.21, .18),(pd.NA, .18)],
                  columns=['dogs', 'cats'])
df
      dogs     cats
0     0.21  0.32120
1     0.01  0.61237
2  0.66123     <NA>
3     0.21  0.18000
4     <NA>  0.188


For rows without pd.NAN, here is what I wanted to do, but it is erroring:
df['dogs'] = df['dogs'].round(2)
df['cats'] = df['cats'].round(2)


TypeError: float() argument must be a string or a number, not 'NAType'


Here is my desired output:
      dogs   cats
0     0.21   0.32
1     0.01   0.61
2  0.66123   <NA>
3     0.21   0.18
4     <NA>  0.188




A:
<code>
import pandas as pd


df = pd.DataFrame([(.21, .3212), (.01, .61237), (.66123, pd.NA), (.21, .18),(pd.NA, .188)],
                  columns=['dogs', 'cats'])
</code>
df = ... # 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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