~/talk

pandas: Integer NA as a first class citizen

Talkat PyData NYC 2018 · 2018-10-11..10-12· [python]
links:none on file
slides:none on file

pandas gains a concrete claim: add Integer NA as a first-class dtype via Extension Arrays, implemented as data plus a boolean mask over numpy storage. It preserves integer types through arithmetic, grouping and assignment (most operations work), exposes an opt-in dtype with custom scalars and accessors, and defers copies in the block manager. Known gaps include no ExtensionArrayIndex yet and CSV/serialization roundtrips that still fail.

AI-written summary · about

  1. 0:00Introduction
  2. 1:06Pandas popularity
  3. 4:21Pandas limitations
  4. 7:13Extension arrays evolution
  5. 9:00Integer NA support
  6. 12:27Demonstration
  7. 18:50Performance implications
  8. 21:55Current limitations
  9. 22:40Extension arrays use cases
  10. 24:28Custom types with pint
  11. 27:35Future of extension arrays
  12. 28:31Q&A
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