Error checking and a call to read_cvs

[rsherry8]

Please consider the following function:

import pandas as pd

def read_input(path1, path2):
    """Concat two paths/strs; yields pandas.DataFrame of indicated file."""
    full_input_path = Path(path1, path2)
    columns = {
        'symbol': str,
        'num_shares': int
    }
    with open(full_input_path) as input_file:
        # Redirect stderr to something we can report on.

            stocks_table = None
            stocks_table = pd.read_csv(
                input_file,
                sep=',',
                names=columns.keys(),
                index_col=False, # fix data file?
                #dtype=columns,
                comment='#',
                error_bad_lines=False, # fix?
                warn_bad_lines=True
                )
         
    # discuss validation
    return stocks_table

The file is suppose to have two fields in it, separated by a comma. However, one of the records is missing
the comma. Hence the call to read_cvs produces the following error message:

Output:
- VO 5: No data found, symbol may be delisted

Is there a way to find out which record in the input was bad?

Bob