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This is inadequate, as it ignores the types contained within the container. A DataFrame might have string column labels and three columns of integer, string, and floating-point values; these characteristics define the type. A function argument with such type hints provides developers, static analyzers, and runtime checkers with all the information needed to understand the expectations of the interface. StaticFrame 2 now permits this:
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Related posts
- Static-frame: Immutable/statically-typed DataFrames with runtime type validation
- Memoizing DataFrame Functions: Using Hashable DataFrames and Message Digests to Optimize Repeated Calculations
- The Performance Advantage of No-Copy DataFrame Operations
- One Fill Value Is Not Enough: Preserving Columnar Types When Reindexing DataFrames
- static-frame: Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.