Dataframe Methods

Catalog.map_rows(func[, columns, ...])	Takes a function and applies it to each top-level row of the Catalog.
Catalog.map_partitions(func, *args[, meta, ...])	Applies a function to each partition in the catalog and respective margin.
Catalog.write_catalog(base_catalog_path, *)	Save the catalog to disk in HATS format.
Catalog.compute()	Compute dask distributed dataframe to pandas dataframe
Catalog.to_delayed([optimize_graph])	Get a list of Dask Delayed objects for each partition in the dataset
Catalog.get_partition(order, pixel)	Get the dask partition for a given HEALPix pixel
Catalog.get_partition_index(order, pixel)	Get the dask partition for a given HEALPix pixel
Catalog.prune_empty_partitions([persist])	Prunes the catalog of its empty partitions
Catalog.to_dask_dataframe()	Convert the dataset to a Dask DataFrame.