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Core typed relational planning layer for Python DataFrames.

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Project description

planframe

Docs PyPI License: MIT

Core package for PlanFrame (typed planning layer). Import as planframe.

Documentation (ReadTheDocs):

  • Core (adapter authors): https://planframe.readthedocs.io/en/latest/planframe/
  • Design docs: https://planframe.readthedocs.io/en/latest/planframe/design/
  • Light API reference: https://planframe.readthedocs.io/en/latest/planframe/reference/api/

What you get

  • planframe.Frame: immutable, schema-aware transformation plan (always lazy)
  • planframe.expr: typed expression IR (col, lit, arithmetic/compare/boolean ops, coalesce, if_else, etc.), plus aggregation wrappers for use inside group_by(...).agg(...): agg_sum, agg_mean, agg_min, agg_max, agg_count, agg_n_unique (these build AggExpr nodes)
  • planframe.groupby.GroupedFrame: produced by Frame.group_by; group_by accepts column names and/or expressions (expression keys show up as __pf_g0, __pf_g1, … in the result schema). agg accepts (op, column) tuples and/or AggExpr values—not arbitrary bare expressions
  • planframe.schema: schema reflection (dataclass + Pydantic) and materialization

Common transforms

Some commonly used Frame transforms:

  • with_row_count(name="row_nr", offset=0): add a monotonically increasing row number column.
  • clip(lower=..., upper=..., subset=...): clamp numeric columns (if subset=None, clamps all numeric schema fields).

Note on backends

planframe is backend-agnostic. It does not execute anything until collect() (even for eager backends). To execute plans you need an adapter package (e.g. planframe-polars).

For async stacks, Frame.acollect(), Frame.ato_dicts(), and Frame.ato_dict() await adapter hooks (BaseAdapter.acollect and friends); defaults run sync methods in a thread pool. See https://planframe.readthedocs.io/en/latest/planframe/design/backend-adapter-design/.

Typing

PlanFrame includes py.typed plus generated stubs (notably planframe/frame.pyi) to improve static typing in editors and Pyright.

If you modify the Frame API, regenerate stubs from the repo root:

python scripts/generate_typing_stubs.py
python scripts/generate_typing_stubs.py --check

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