pvtend.CompositeResult

class pvtend.CompositeResult(levels: ndarray, x_rel: ndarray, y_rel: ndarray, h_scale: float | None, stages: list[str], fields_3d: list[str], sums: dict[str, dict[int, dict[str, ndarray]]], valids: dict[str, dict[int, dict[str, ndarray]]], counts: dict[str, dict[int, int]], sums_v: dict[str, dict[str, dict[int, dict[str, ndarray]]]], valids_v: dict[str, dict[str, dict[int, dict[str, ndarray]]]], counts_v: dict[str, dict[str, dict[int, int]]], variant_names: list[str])[source]

Accumulated composite data, supporting original + RWB variants.

Variants exposed:: original — all events (no RWB filter); AWB_{stage}, CWB_{stage}, NEUTRAL_{stage} for each stage.

Access composites via mean_3d() and reduce_2d().

__init__(levels: ndarray, x_rel: ndarray, y_rel: ndarray, h_scale: float | None, stages: list[str], fields_3d: list[str], sums: dict[str, dict[int, dict[str, ndarray]]], valids: dict[str, dict[int, dict[str, ndarray]]], counts: dict[str, dict[int, int]], sums_v: dict[str, dict[str, dict[int, dict[str, ndarray]]]], valids_v: dict[str, dict[str, dict[int, dict[str, ndarray]]]], counts_v: dict[str, dict[str, dict[int, int]]], variant_names: list[str]) → None

Methods

`__init__`(levels, x_rel, y_rel, h_scale, ...)
`available_dh`(stage, *[, variant])
`load`(path)
`mean_3d`(field, stage, dh, *[, variant])	Return the NaN-safe mean 3-D composite array.
`reduce_2d`(field, stage, dh, *[, variant, ...])	Reduce a 3-D composite to 2-D.
`save`(path)

Attributes