intent: How to gracefully fallback to `NaN` value while reading integers from a CSV with Pandas?
rewritten_intent: read CSV file 'my.csv' into a dataframe `df` with datatype of float for column 'my_column' considering character 'n/a' as NaN value
snippet: df = pd.read_csv('my.csv', dtype={'my_column': np.float64}, na_values=['n/a'])