kedro.extras.datasets.geopandas.GeoJSONDataSet¶
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class
kedro.extras.datasets.geopandas.
GeoJSONDataSet
(filepath, load_args=None, save_args=None, version=None, credentials=None, fs_args=None)[source]¶ Bases:
kedro.io.core.AbstractVersionedDataSet
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 shapely.geometry import Point from kedro.extras.datasets.geopandas import GeoJSONDataSet data = gpd.GeoDataFrame({'col1': [1, 2], 'col2': [4, 5], 'col3': [5, 6]}, geometry=[Point(1,1), Point(2,4)]) # data_set = GeoJSONDataSet(filepath="gcs://bucket/test.geojson", save_args=None) data_set = GeoJSONDataSet(filepath="test.geojson", save_args=None) data_set.save(data) reloaded = data_set.load() assert data.equals(reloaded)
Attributes
GeoJSONDataSet.DEFAULT_LOAD_ARGS
GeoJSONDataSet.DEFAULT_SAVE_ARGS
Methods
GeoJSONDataSet.__init__
(filepath[, …])Creates a new instance of GeoJSONDataSet
pointing to a concrete GeoJSON file on a specific filesystem fsspec.GeoJSONDataSet.exists
()Checks whether a data set’s output already exists by calling the provided _exists() method. GeoJSONDataSet.from_config
(name, config[, …])Create a data set instance using the configuration provided. GeoJSONDataSet.invalidate_cache
()Invalidate underlying filesystem cache. GeoJSONDataSet.load
()Loads data by delegation to the provided load method. GeoJSONDataSet.release
()Release any cached data. GeoJSONDataSet.resolve_load_version
()Compute the version the dataset should be loaded with. GeoJSONDataSet.resolve_save_version
()Compute the version the dataset should be saved with. GeoJSONDataSet.save
(data)Saves data by delegation to the provided save method. -
DEFAULT_LOAD_ARGS
= {}¶
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DEFAULT_SAVE_ARGS
= {'driver': 'GeoJSON'}¶
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__init__
(filepath, load_args=None, save_args=None, version=None, credentials=None, fs_args=None)[source]¶ 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 byfsspec
. 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/reference/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/reference.html#geopandas.GeoDataFrame.to_file The default_save_arg driver is ‘GeoJSON’, all others preserved. - version (
Optional
[Version
]) – If specified, should be an instance ofkedro.io.core.Version
. If itsload
attribute is None, the latest version will be loaded. If itssave
- credentials (
Optional
[Dict
[str
,Any
]]) – credentials required to access the underlying filesystem. Eg. forGCFileSystem
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”} forGCSFileSystem
), 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.
Return type: None
- filepath (
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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.
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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 (
Optional
[str
]) – Version string to be used forload
operation if the data set is versioned. Has no effect on the data set if versioning was not enabled. - save_version (
Optional
[str
]) – Version string to be used forsave
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.- name (
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load
()¶ Loads data by delegation to the provided load method.
Return type: Any
Returns: Data returned by the provided load method. Raises: DataSetError
– When underlying load method raises error.
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release
()¶ Release any cached data.
Raises: DataSetError
– when underlying release method raises error.Return type: None
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resolve_load_version
()¶ Compute the version the dataset should be loaded with.
Return type: Optional
[str
]
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resolve_save_version
()¶ Compute the version the dataset should be saved with.
Return type: Optional
[str
]
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save
(data)¶ Saves data by delegation to the provided save method.
Parameters: data ( Any
) – the value to be saved by provided save method.Raises: DataSetError
– when underlying save method raises error.Return type: None
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