PERF: change impl for Categorical to use smaller dtype arrays · Issue #8453 · pandas-dev/pandas (original) (raw)

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Description

So it seems by using a full Int64 array for the codes, plus the categorires we are actually using MORE memory to store a Categorical. Because the pointers are the same sized as an object array (plus have the categories).

So need to change the codes store to use a smaller dtype of int. Maybe switch this to a plain ndarray, and use dtype=uint8. Would provide a lot of benefit