intake_stac.StacItem

class intake_stac.StacItem(*args, **kwargs)

Maps STAC Item to Intake (Sub)Catalog https://pystac.readthedocs.io/en/latest/api.html#item-spec

__init__(stac_obj, **kwargs)

Initialize the catalog.

Parameters

stac_obj: stastac.STACObject

A pystac.STACObject pointing to a STAC object

kwargsdict, optional

Passed to intake.Catalog.__init__

Methods

__init__(stac_obj, **kwargs)	Initialize the catalog.
close()	Close open resources corresponding to this data source.
configure_new(**kwargs)	Create a new instance of this source with altered arguments
describe()	Description from the entry spec
discover()	Open resource and populate the source attributes.
export(path, **kwargs)	Save this data for sharing with other people
filter(func)	Create a Catalog of a subset of entries based on a condition
force_reload()	Imperative reload data now
from_dict(entries, **kwargs)	Create Catalog from the given set of entries
from_url(url, **kwargs)	Initialize the catalog from a STAC url.
get(**kwargs)	Create a new instance of this source with altered arguments
get_persisted()
items()	Get an iterator over (key, source) tuples for the catalog entries.
keys()	Entry names in this catalog as an iterator (alias for __iter__)
persist([ttl])	Save data from this source to local persistent storage
pop(key)	Remove entry from catalog and return it
read()	Load entire dataset into a container and return it
read_chunked()	Return iterator over container fragments of data source
read_partition(i)	Return a part of the data corresponding to i-th partition.
reload()	Reload catalog if sufficient time has passed
save(url[, storage_options])	Output this catalog to a file as YAML
search(text[, depth])
serialize()	Serialize the catalog to yaml.
set_cache_dir(cache_dir)
stack_bands(bands[, path_as_pattern, concat_dim])	Stack the listed bands over the band dimension.
to_dask()	Return a dask container for this data source
to_spark()	Provide an equivalent data object in Apache Spark
values()	Get an iterator over the sources for catalog entries.
walk([sofar, prefix, depth])	Get all entries in this catalog and sub-catalogs
yaml()	Return YAML representation of this data-source

Attributes

auth
cache
cache_dirs
cat
classname
container
description
dtype
entry
gui	Source GUI, with parameter selection and plotting
has_been_persisted	The base class does not interact with persistence
hvplot	Returns a hvPlot object to provide a high-level plotting API.
is_persisted	The base class does not interact with persistence
kwargs
name
npartitions
on_server
partition_access
plot	Returns a hvPlot object to provide a high-level plotting API.
plots	List custom associated quick-plots
shape
version