intent: How to gracefully fallback to `NaN` value while reading integers from a CSV with Pandas?
rewritten_intent: convert nan values to ‘n/a’ while reading rows from a csv `read_csv` with pandas
snippet: df = pd.read_csv('my.csv', na_values=['n/a'])