Question: What I may be doing wrong and how we can fix the following error? import pandas as pd def handle_bad_line(bad_line: list[str]) -> list[str] | None: # Do something with the bad line, e.g., print it or modify it print("Bad line:", bad_line) # Return a modified line (if needed) or None to skip it return None # Skip the bad line df = pd.read_csv("DataFile.csv",engine="python", on_bad_lines=handle_bad_line) Error: ValueError: Argument <function handle_bad_line at 0x000001D9A6683E20> is invalid for on_bad_lines Remark: The function option for on_bad_lines was added on Pandas 1.4.0 and above. Following is from official document: Callable, function with signature (bad_line: list[str]) -> list[str] | None that will process a single bad line. bad_line is a list of strings split by the sep. If the function returns None, the bad line will be ignored. If the function returns a new list of strings with more elements than expected, a ParserWarning will be emitted while dropping extra elements. Only supported when engine='python' Continue reading...
