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Pandas Additions #29

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Robadob opened this issue Apr 2, 2024 · 0 comments
Open

Pandas Additions #29

Robadob opened this issue Apr 2, 2024 · 0 comments

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@Robadob
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Robadob commented Apr 2, 2024

Merging

  • Use the appropriate/narrowest merge (left/right/inner/outer join)
  • If you data is ordered/has an index, used merge_ordered() or use the index params on merge()

Concat

???

.rolling(), .expanding()

May be able to extend columns are numpy to identify "common" methods that help you avoid doing stuff manually.

polars

Niche use-cases where this can provide speedup e.g. via auto multithreading.

serialisation

parquet (more restrictive than pandas)

misc

columns are numpy arrays, avoid variable data (again)!

@Robadob Robadob mentioned this issue Apr 3, 2024
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Robadob pushed a commit that referenced this issue Jun 11, 2024
Add example callout section
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