prepare_bayesian_subjects_each

prepare_bayesian_subjects_each(
    estimates,
    readings,
    *,
    forecast_source,
    settings=BAYESIAN_DEFAULTS,
    consensus_source=CONSENSUS_SOURCE,
)

Prepare Bayesian subjects with one reading moment per row.

Each row equals the row prepare_bayesian_subjects returns for that subject when called at that row’s moment, on every column that call returns. The frame carries a column for every source in the panel, so a source not yet knowable at a row’s moment is missing there rather than absent. A subject with nothing knowable at its moment gets a row with every prepared field missing, which the posterior refuses as missing input.

Parameters

Name	Type	Description	Default
estimates	pd.DataFrame	Long input panel.	required
readings	pd.DataFrame	One row per subject and moment: the subject columns, period_end and a UTC as_of column.	required
forecast_source	str	The source blended alongside consensus.	required
settings	BayesianSettings	The settings the posterior will be applied under.	BAYESIAN_DEFAULTS
consensus_source	str	The source treated as consensus.	CONSENSUS_SOURCE

Returns

Name	Type	Description
	pd.DataFrame	One row per reading, in reading order: the subject columns, as_of, each source’s value, known_at, metadata and age, then the growth prior, the error variances and, when the bias applies, the consensus bias.