Python only

Functions without an R counterpart in the reference.

ALIAS_SCHEMA `module-attribute`

ALIAS_SCHEMA = pa.schema(
    [
        ("frame", pa.string()),
        ("unit", pa.string()),
        ("alias", pa.string()),
        ("source", pa.string()),
    ]
)

ATTR_SCHEMA `module-attribute`

ATTR_SCHEMA = pa.schema(
    [
        ("frame", pa.string()),
        ("unit", pa.string()),
        ("attribute", pa.string()),
        ("kind", pa.string()),
        ("value", pa.float64()),
        ("lower", pa.float64()),
        ("upper", pa.float64()),
        ("unit_of_measure", pa.string()),
        ("source", pa.string()),
        ("note", pa.string()),
    ]
)

Backend `dataclass`

What a data argument is, and whether it is lazy.

NestedScalesError

Bases: ValueError

Raised for every user-facing error (R: .stop()).

NestedScalesWarning

Bases: UserWarning

Issued for every user-facing warning (R: .warn()).

ScaleDataset `dataclass`

An opened store: data (a lazily read pyarrow Dataset) and scale.

ScaleSummary `dataclass`

The quantitative view of a scale (R: summary() -> summary_Scale).

Verdict `dataclass`

A yes/no answer with its evidence (R: a logical with attributes).

Truthy as ok, and equal to a bool of the same value, so if scale_nests(...) and scale_nests(...) == True both read naturally. offenders names the codes that broke the test; sizes carries the per-unit totals of scale_is_uniform().

empty_aliases

empty_aliases() -> pa.Table

empty_attributes

empty_attributes() -> pa.Table

Python only

ALIAS_SCHEMA module-attribute

ATTR_SCHEMA module-attribute

Backend dataclass