class documentation
class GMLDataSet(AbstractVersionedDataSet[
GMLDataSet loads and saves graphs to a GML file using an underlying filesystem (e.g.: local, S3, GCS). NetworkX is used to create GML data. See https://networkx.org/documentation/stable/tutorial.html for details.
Example:
>>> from kedro.extras.datasets.networkx import GMLDataSet >>> import networkx as nx >>> graph = nx.complete_graph(100) >>> graph_dataset = GMLDataSet(filepath="test.gml") >>> graph_dataset.save(graph) >>> reloaded = graph_dataset.load() >>> assert nx.is_isomorphic(graph, reloaded)
Method | __init__ |
Creates a new instance of GMLDataSet. |
Constant | DEFAULT |
Undocumented |
Constant | DEFAULT |
Undocumented |
Method | _describe |
Undocumented |
Method | _exists |
Undocumented |
Method | _invalidate |
Invalidate underlying filesystem caches. |
Method | _load |
Undocumented |
Method | _release |
Undocumented |
Method | _save |
Undocumented |
Instance Variable | _fs |
Undocumented |
Instance Variable | _fs |
Undocumented |
Instance Variable | _fs |
Undocumented |
Instance Variable | _load |
Undocumented |
Instance Variable | _protocol |
Undocumented |
Instance Variable | _save |
Undocumented |
Inherited from AbstractVersionedDataSet
:
Method | exists |
Checks whether a data set's output already exists by calling the provided _exists() method. |
Method | load |
Loads data by delegation to the provided load method. |
Method | resolve |
Compute the version the dataset should be loaded with. |
Method | resolve |
Compute the version the dataset should be saved with. |
Method | save |
Saves data by delegation to the provided save method. |
Method | _fetch |
Undocumented |
Method | _fetch |
Generate and cache the current save version |
Method | _get |
Undocumented |
Method | _get |
Undocumented |
Method | _get |
Undocumented |
Instance Variable | _exists |
Undocumented |
Instance Variable | _filepath |
Undocumented |
Instance Variable | _glob |
Undocumented |
Instance Variable | _version |
Undocumented |
Instance Variable | _version |
Undocumented |
Inherited from AbstractDataSet
(via AbstractVersionedDataSet
):
Class Method | from |
Create a data set instance using the configuration provided. |
Method | __str__ |
Undocumented |
Method | release |
Release any cached data. |
Method | _copy |
Undocumented |
Property | _logger |
Undocumented |
def __init__(self, filepath:
str
, load_args: Dict[ str, Any]
= None, save_args: Dict[ str, Any]
= None, version: Version
= None, credentials: Dict[ str, Any]
= None, fs_args: Dict[ str, Any]
= None):
(source)
¶
Creates a new instance of GMLDataSet.
Parameters | |
filepath:str | Filepath in POSIX format to the NetworkX GML file. |
loadDict[ | Arguments passed on to networkx.read_gml. See the details in https://networkx.org/documentation/stable/reference/readwrite/generated/networkx.readwrite.gml.read_gml.html |
saveDict[ | Arguments passed on to networkx.write_gml. See the details in https://networkx.org/documentation/stable/reference/readwrite/generated/networkx.readwrite.gml.write_gml.html |
version:Version | If specified, should be an instance of kedro.io.core.Version. If its load attribute is None, the latest version will be loaded. If its save attribute is None, save version will be autogenerated. |
credentials:Dict[ | Credentials required to get access to the underlying filesystem.
E.g. for GCSFileSystem it should look like {"token": None} . |
fsDict[ | Extra arguments to pass into underlying filesystem class constructor
(e.g. {"project": "my-project"} for GCSFileSystem), as well as
to pass to the filesystem's open method through nested keys
open_args_load and open_args_save .
Here you can find all available arguments for open :
https://filesystem-spec.readthedocs.io/en/latest/api.html#fsspec.spec.AbstractFileSystem.open
All defaults are preserved, except mode , which is set to r when loading
and to w when saving. |