How does Pandas handle missing data in categorical operations?

Missing values in categorical data are treated as a separate category or NaN.

Categorical data can include a special NaN category. Pandas maintains category codes and handles missing values separately during operations like grouping or sorting. This allows consistent behavior while preserving memory efficiency.