kedro.extras.datasets¶

Description

kedro.extras.datasets is where you can find all of Kedro’s data connectors. These data connectors are implementations of the AbstractDataSet.

Data Sets¶

`kedro.extras.datasets.api.APIDataSet`(url[, …])	`APIDataSet` loads the data from HTTP(S) APIs.
`kedro.extras.datasets.biosequence.BioSequenceDataSet`(…)	`BioSequenceDataSet` loads and saves data to a sequence file.
`kedro.extras.datasets.dask.ParquetDataSet`(…)	`ParquetDataSet` loads and saves data to parquet file(s).
`kedro.extras.datasets.geopandas.GeoJSONDataSet`(…)	`GeoJSONDataSet` loads/saves data to a GeoJSON file using an underlying filesystem (eg: local, S3, GCS).
`kedro.extras.datasets.matplotlib.MatplotlibWriter`(…)	`MatplotlibWriter` saves matplotlib objects to image file(s) in an underlying filesystem (e.g.
`kedro.extras.datasets.holoviews.HoloviewsWriter`(…)	`HoloviewsWriter` saves Holoviews objects to image file(s) in an underlying filesystem (e.g.
`kedro.extras.datasets.json.JSONDataSet`(filepath)	`JSONDataSet` loads/saves data from/to a JSON file using an underlying filesystem (e.g.: local, S3, GCS).
`kedro.extras.datasets.networkx.NetworkXDataSet`(…)	`NetworkXDataSet` loads and saves graphs to a JSON file using an underlying filesystem (e.g.: local, S3, GCS).
`kedro.extras.datasets.pandas.CSVDataSet`(filepath)	`CSVDataSet` loads/saves data from/to a CSV file using an underlying filesystem (e.g.: local, S3, GCS).
`kedro.extras.datasets.pandas.ExcelDataSet`(…)	`ExcelDataSet` loads/saves data from/to a Excel file using an underlying filesystem (e.g.: local, S3, GCS).
`kedro.extras.datasets.pandas.AppendableExcelDataSet`(…)	`AppendableExcelDataSet` loads/saves data from/to a local Excel file opened in append mode.
`kedro.extras.datasets.pandas.FeatherDataSet`(…)	`FeatherDataSet` loads and saves data to a feather file using an underlying filesystem (e.g.: local, S3, GCS).
`kedro.extras.datasets.pandas.GBQTableDataSet`(…)	`GBQTableDataSet` loads and saves data from/to Google BigQuery.
`kedro.extras.datasets.pandas.HDFDataSet`(…)	`HDFDataSet` loads/saves data from/to a hdf file using an underlying filesystem (e.g.
`kedro.extras.datasets.pandas.JSONDataSet`(…)	`JSONDataSet` loads/saves data from/to a JSON file using an underlying filesystem (e.g.: local, S3, GCS).
`kedro.extras.datasets.pandas.ParquetDataSet`(…)	`ParquetDataSet` loads/saves data from/to a Parquet file using an underlying filesystem (e.g.: local, S3, GCS).
`kedro.extras.datasets.pandas.SQLQueryDataSet`(…)	`SQLQueryDataSet` loads data from a provided SQL query.
`kedro.extras.datasets.pandas.SQLTableDataSet`(…)	`SQLTableDataSet` loads data from a SQL table and saves a pandas dataframe to a table.
`kedro.extras.datasets.pickle.PickleDataSet`(…)	`PickleDataSet` loads/saves data from/to a Pickle file using an underlying filesystem (e.g.: local, S3, GCS).
`kedro.extras.datasets.pillow.ImageDataSet`(…)	`ImageDataSet` loads/saves image data as numpy from an underlying filesystem (e.g.: local, S3, GCS).
`kedro.extras.datasets.spark.SparkDataSet`(…)	`SparkDataSet` loads and saves Spark dataframes.
`kedro.extras.datasets.spark.SparkHiveDataSet`(…)	`SparkHiveDataSet` loads and saves Spark dataframes stored on Hive.
`kedro.extras.datasets.spark.SparkJDBCDataSet`(…)	`SparkJDBCDataSet` loads data from a database table accessible via JDBC URL url and connection properties and saves the content of a PySpark DataFrame to an external database table via JDBC.
`kedro.extras.datasets.tensorflow.TensorFlowModelDataset`(…)	`TensorflowModelDataset` loads and saves TensorFlow models.
`kedro.extras.datasets.text.TextDataSet`(filepath)	`TextDataSet` loads/saves data from/to a text file using an underlying filesystem (e.g.: local, S3, GCS)
`kedro.extras.datasets.yaml.YAMLDataSet`(filepath)	`YAMLDataSet` loads/saves data from/to a YAML file using an underlying filesystem (e.g.: local, S3, GCS).