The norm of treating missing data as NA exists in R (which the developer of this is clearly inspired by based on the GitHub readme.). Pandas in Python is stuck with NaN for numeric types (not quite correct) and "" or None for string types. Personally I like the choice to both explicitly render missing data in colour and to apply NA as a placeholder text to display that colour.