tiled.client.dataframe.DaskDataFrameClient

class tiled.client.dataframe.DaskDataFrameClient(context, *, item, structure_clients, structure=None, include_data_sources=False)

Client-side wrapper around an dataframe-like that returns dask dataframes

__init__(context, *, item, structure_clients, structure=None, include_data_sources=False)

Methods

__init__(context, *, item, structure_clients)
append_partition(dataframe, partition)
asset_manifest(data_sources)	Return a manifest of the relative paths of the contents in each asset.
compute()	Alias to client.read().compute()
data_sources()
delete_tree()
export(filepath[, columns, format])	Download data in some format and write to a file.
include_data_sources()	Ensure that data source and asset information is fetched.
login([username, provider])	Depending on the server's authentication method, this will prompt for username/password:
logout()	Log out.
new_variation([structure])	This is intended primarily for internal use and use by subclasses.
raw_export([destination_directory, max_workers])	Download the raw assets backing this node.
read([columns])	Access the entire DataFrame.
read_partition(partition[, columns])	Access one partition in a partitioned (dask) dataframe.
refresh()
structure()	Return a dataclass describing the structure of the data.
update_metadata([metadata, specs])	EXPERIMENTAL: Update metadata.
write(dataframe)
write_partition(dataframe, partition)

Attributes

URL_CHARACTER_LIMIT
columns
context
formats	List formats that the server can export this data as.
item	JSON payload describing this item.
metadata	Metadata about this data source.
metadata_revisions
specs	List of specifications describing the structure of the metadata and/or data.
structure_family	Quick access to this entry
uri	Direct link to this entry