Dataframe Methods

Catalog.map_rows(func[, columns, ...])	Takes a function and applies it to each top-level row of the Catalog.
Catalog.map_partitions(...)	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([progress_bar, tqdm_kwargs])	Compute dask distributed dataframe to pandas dataframe.
Catalog.to_delayed()	Get a list of Dask Delayed objects for each partition in the dataset
Catalog.get_partition(order, pixel)	Get the partition for a given HEALPix pixel
Catalog.prune_empty_partitions()	Prunes the catalog of its empty partitions
Catalog.to_dask_dataframe([divisions])	Converts to a Dask DataFrame