# ds1000 / 198 - 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 ``` # 198: DS-1000 Task ## Prompt Problem: I am trying to get count of letter chars in column using Pandas. But not getting desired output. My .txt file is: str Aa Bb ?? ? x; ### My Code is : import pandas as pd df=pd.read_csv('inn.txt',sep='\t') def count_special_char(string): special_char = 0 for i in range(len(string)): if(string[i].isalpha()): continue else: special_char = special_char + 1 df["new"]=df.apply(count_special_char, axis = 0) print(df) And the output is: str new 0 Aa NaN 1 Bb NaN 2 ?? ? NaN 3 ### NaN 4 x; Nan Desired output is: str new 0 Aa 2 1 Bb 2 2 ?? ? 0 3 ### 0 4 {}xxa; 3 How to go ahead on this ? A: <code> import pandas as pd df = pd.DataFrame({'str': ['Aa', 'Bb', '?? ?', '###', '{}xxa;']}) </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