# 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`). ``` --- 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