kedro_datasets.geopandas.GeoJSONDataset

class kedro_datasets.geopandas.GeoJSONDataset(*, filepath, load_args=None, save_args=None, version=None, credentials=None, fs_args=None, metadata=None)

GeoJSONDataset loads/saves data to a GeoJSON file using an underlying filesystem (eg: local, S3, GCS). The underlying functionality is supported by geopandas, so it supports all allowed geopandas (pandas) options for loading and saving GeoJSON files.

Example:

 import geopandas as gpd
 from kedro_datasets.geopandas import GeoJSONDataset
 from shapely.geometry import Point

 data = gpd.GeoDataFrame(
...     {"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]},
...     geometry=[Point(1, 1), Point(2, 4)],
... )
 dataset = GeoJSONDataset(filepath=tmp_path / "test.geojson", save_args=None)
 dataset.save(data)
 reloaded = dataset.load()

 assert data.equals(reloaded)

Attributes

DEFAULT_LOAD_ARGS
DEFAULT_SAVE_ARGS

Methods

exists()	Checks whether a data set's output already exists by calling the provided _exists() method.
from_config(name, config[, load_version, ...])	Create a data set instance using the configuration provided.
invalidate_cache()	Invalidate underlying filesystem cache.
load()	Loads data by delegation to the provided load method.
release()	Release any cached data.
resolve_load_version()	Compute the version the dataset should be loaded with.
resolve_save_version()	Compute the version the dataset should be saved with.
save(data)	Saves data by delegation to the provided save method.

DEFAULT_LOAD_ARGS: dict[str, Any] = {}

DEFAULT_SAVE_ARGS = {'driver': 'GeoJSON'}

__init__(*, filepath, load_args=None, save_args=None, version=None, credentials=None, fs_args=None, metadata=None)

Creates a new instance of GeoJSONDataset pointing to a concrete GeoJSON file on a specific filesystem fsspec.

Parameters:

• filepath (str) – Filepath in POSIX format to a GeoJSON file prefixed with a protocol like s3://. If prefix is not provided file protocol (local filesystem) will be used. The prefix should be any protocol supported by fsspec. Note: http(s) doesn’t support versioning.

• load_args (Optional[dict[str, Any]]) – GeoPandas options for loading GeoJSON files. Here you can find all available arguments: https://geopandas.org/en/stable/docs/reference/api/geopandas.read_file.html

• save_args (Optional[dict[str, Any]]) – GeoPandas options for saving geojson files. Here you can find all available arguments: https://geopandas.org/en/stable/docs/reference/api/geopandas.GeoDataFrame.to_file.html The default_save_arg driver is ‘GeoJSON’, all others preserved.

• version (Optional[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

• credentials (Optional[dict[str, Any]]) – credentials required to access the underlying filesystem. Eg. for GCFileSystem it would look like {‘token’: None}.

• fs_args (Optional[dict[str, Any]]) – 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 wb when saving.

• metadata (Optional[dict[str, Any]]) – Any arbitrary metadata. This is ignored by Kedro, but may be consumed by users or external plugins.

exists()

Checks whether a data set’s output already exists by calling the provided _exists() method.

Return type:

bool

Returns:

Flag indicating whether the output already exists.

Raises:

DatasetError – when underlying exists method raises error.

classmethod from_config(name, config, load_version=None, save_version=None)

Create a data set instance using the configuration provided.

Parameters:

• name (str) – Data set name.

• config (dict[str, Any]) – Data set config dictionary.

• load_version (str | None) – Version string to be used for load operation if the data set is versioned. Has no effect on the data set if versioning was not enabled.

• save_version (str | None) – Version string to be used for save operation if the data set is versioned. Has no effect on the data set if versioning was not enabled.

Return type:

AbstractDataset

Returns:

An instance of an AbstractDataset subclass.

Raises:

DatasetError – When the function fails to create the data set from its config.

invalidate_cache()

Invalidate underlying filesystem cache.

Return type:

None

load()

Loads data by delegation to the provided load method.

Return type:

TypeVar(_DO)

Returns:

Data returned by the provided load method.

Raises:

DatasetError – When underlying load method raises error.

release()

Release any cached data.

Raises:

DatasetError – when underlying release method raises error.

Return type:

None

resolve_load_version()

Compute the version the dataset should be loaded with.

Return type:

str | None

resolve_save_version()

Compute the version the dataset should be saved with.

Return type:

str | None

save(data)

Saves data by delegation to the provided save method.

Parameters:

data (TypeVar(_DI)) – the value to be saved by provided save method.

Raises:

• DatasetError – when underlying save method raises error.

• FileNotFoundError – when save method got file instead of dir, on Windows.

• NotADirectoryError – when save method got file instead of dir, on Unix.

Return type:

None