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Learn how converting low‑cardinality string columns to pandas Categorical reduces memory and accelerates groupby operations, with a concrete example and practical verification steps.
Learn how converting low‑cardinality string columns to pandas categorical dtype can cut memory usage by up to 90 % and boost performance. Follow a quick checklist to decide when the conversion is worth it.
Convert repeated string columns to pandas Categorical to cut memory by up to 90%. This guide shows a worked example, explains how it works, and lists limits and common pitfalls.
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