seniorPandas
How does Pandas optimize categorical memory usage internally?
Updated May 17, 2026
Short answer
Categorical columns store data as integer codes mapped to a lookup table.
Deep explanation
Instead of storing repeated strings, Pandas assigns each unique category a numeric code and maintains a category dictionary. This reduces memory usage drastically for low-cardinality data and improves groupby and comparison performance.
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