datacube.index.abstract.AbstractDatasetResource.count_product_through_time#

abstract AbstractDatasetResource.count_product_through_time(period, archived=False, **query)[source]#

Perform a search, returning counts for a single product grouped in time slices of the given period.

Will raise an error if the search terms match more than one product.

Parameters:

  • period (str) – Time range for each slice: ‘1 month’, ‘1 day’ etc.

  • archived (bool | None) – False (default): Count active datasets only. None: Count archived and active datasets. True: Count archived datasets only.

  • geopolygon – Spatial search polygon (only supported if index supports_spatial_indexes)

  • query (str | float | int | Range | datetime | Not) – search query parameters

Return type:

Iterable[tuple[Range, int]]

Returns:

The product, a list of time ranges and the count of matching datasets.