title: How do you represent missing data in a Pandas DataFrame?
body: <p>Does Pandas have an equivalent of R's <strong>na</strong> (meaning not available)? If not, what is the convention for representing a missing value, as opposed to NaN which represents a mathematically impossible value such as a divide by zero?</p>