Question

A developer opens a brand-new, empty file named `data_pipeline.py` and immediately wants Copilot to generate a function that reads a CSV, drops rows with null values, and returns a pandas DataFrame. They write only a single terse comment `# process` at the top and wait for a suggestion, but Copilot produces an unrelated print statement. Applying prompt-engineering best practices, what is the MOST effective single change to get a relevant suggestion?

Accepted Answer

Rewrite the comment to a descriptive docstring/signature such as `def clean_csv(path: str) -> pd.DataFrame:` with a comment stating it reads the CSV, drops null rows, and returns a DataFrame.

Answer

Add several blank lines below the comment so Copilot has more room in the file to infer the intended logic.

Answer

Repeat the word `# process` on ten consecutive lines to increase the signal strength of the instruction.

Answer

Rename the file to `main.py` so Copilot recognizes it as an executable entry point and generates data-handling code.