bayesline.api.equity.UniverseCountReportAccessorImpl#

class bayesline.api.equity.UniverseCountReportAccessorImpl(accessor: ReportAccessorApi)#

Methods

`__init__`(accessor)
`get_counts`(*[, dates, ...])	Get the counts for the universe.
`with_scenario`(scenario_settings)	Return a new accessor with the given scenario settings applied.

Attributes

`accessor`	The underlying report accessor API.
`scenario_types`

property accessor: ReportAccessorApi#

The underlying report accessor API.

Returns#

get_counts(*, dates: bool = True, categorical_hierarchy_levels: dict[str, int] | None = None) → DataFrame#

Get the counts for the universe.

datesbool, default=True: If True, groups by dates.
categorical_hierarchy_levelsdict[str, int] | None, default=None: The level of categorical aggregation to group by. The key is the hierarchy name, the value is the level. If None, no categorical aggregation is done. A level of -1 means to use all levels.