Data catalog

General

DataCatalog([data_libs, fallback_lib, ...])	Base class for the data catalog object.
DataCatalog.get_source(source[, provider, ...])	Return a data source.
DataCatalog.sources	Returns dictionary of DataSources.
DataCatalog.predefined_catalogs	Return all predefined catalogs.
DataCatalog.to_dict([source_names, root, ...])	Export the data catalog to a dictionary.
DataCatalog.to_yml(path[, root, ...])	Write data catalog to yaml format.
DataCatalog.export_data(new_root[, bbox, ...])	Export a data slice of each dataset and a data_catalog.yml file to disk.
DataCatalog.get_source_bbox(source[, ...])	Retrieve the bounding box and crs of the source.
DataCatalog.get_source_time_range(source[, ...])	Detect the temporal range of the dataset.

Add data sources

DataCatalog.add_source(name, source)	Add a new data source to the data catalog.
DataCatalog.update(**kwargs)	Add data sources to library or update them.
DataCatalog.from_predefined_catalogs(name[, ...])	Add data sources from a predefined data catalog.
DataCatalog.from_yml(urlpath[, root, ...])	Add data sources based on yaml file.
DataCatalog.from_dict(data_dict[, ...])	Add data sources based on dictionary.

Get data

DataCatalog.get_rasterdataset(data_like[, ...])	Return a clipped, sliced and unified RasterDataset.
DataCatalog.get_geodataset(data_like[, ...])	Return a clipped, sliced and unified GeoDataset.
DataCatalog.get_geodataframe(data_like[, ...])	Return a clipped and unified GeoDataFrame (vector).
DataCatalog.get_dataframe(data_like[, ...])	Return a clipped, sliced and unified DataFrame.
DataCatalog.get_dataset(data_like[, ...])	Return a clipped, sliced and unified Dataset.

Predefined data catalog

PredefinedCatalog([format_version, cache_dir])	Predefined data catalog.
PredefinedCatalog.get_catalog_file([version])	Get the cached catalog file path for a specific version.
predefined_catalog.create_registry_file(root)	Create a registry file for all catalog files in the root directory.