datacube.api.GridWorkflow¶
-
class
datacube.api.
GridWorkflow
(index, grid_spec=None, product=None)[source]¶ GridWorkflow deals with cell- and tile-based processing using a grid defining a projection and resolution.
Use GridWorkflow to specify your desired output grid. The methods
list_cells()
andlist_tiles()
query the index and return a dictionary of cell or tile keys, each mapping to aTile
object.The
Tile
object can then be used to load the data without needing the index, and can be serialized for use with the distributed package.-
__init__
(index, grid_spec=None, product=None)[source]¶ Create a grid workflow tool.
Either grid_spec or product must be supplied.
- Parameters
index (datacube.index.Index) – The database index to use.
grid_spec (GridSpec) – The grid projection and resolution
product (str) – The name of an existing product, if no grid_spec is supplied.
Methods
__init__
(index[, grid_spec, product])Create a grid workflow tool.
cell_observations
([cell_index, geopolygon, …])List datasets, grouped by cell.
group_into_cells
(observations, group_by)Group observations into a stack of source tiles.
list_cells
([cell_index])List cells that match the query.
list_tiles
([cell_index])List tiles of data, sorted by cell.
load
(tile[, measurements, dask_chunks, …])Load data for a cell/tile.
tile_sources
(observations, group_by)Split observations into tiles and group into source tiles
update_tile_lineage
(tile)-