Inter-catalog Methods

Catalog.crossmatch(other, *[, n_neighbors, ...])	Perform a cross-match between two catalogs
Catalog.crossmatch_nested(other, *[, ...])	Perform a cross-match between two catalogs, adding the result as a nested column
Catalog.concat(other, *[, ignore_empty_margins])	Concatenate two catalogs by aligned HEALPix pixels.
Catalog.merge_map(map_catalog, func, *args)	Applies a function to each pair of partitions in this catalog and the map catalog.
Catalog.merge(other[, how, on, left_on, ...])	Performs the merge of two catalog Dataframes
Catalog.merge_asof(other[, direction, ...])	Uses the pandas merge_asof function to merge two catalogs on their indices by distance of keys
Catalog.join(other[, left_on, right_on, ...])	Perform a spatial join to another catalog
Catalog.join_nested(other[, left_on, ...])	Perform a spatial join to another catalog by adding the other catalog as a nested column
Catalog.nest_lists([base_columns, ...])	Creates a new catalog with a set of list columns packed into a nested column.