kedro.io¶

Description

kedro.io provides functionality to read and write to a number of data sets. At core of the library is AbstractDataSet which allows implementation of various AbstractDataSets.

Data Catalog¶

kedro.io.DataCatalog([data_sets, feed_dict, …]) DataCatalog stores instances of AbstractDataSet implementations to provide load and save capabilities from anywhere in the program.

Data Sets¶

`kedro.io.LambdaDataSet`(load, save[, exists, …])	`LambdaDataSet` loads and saves data to a data set.
`kedro.io.MemoryDataSet`([data, copy_mode])	`MemoryDataSet` loads and saves data from/to an in-memory Python object.
`kedro.io.PartitionedDataSet`(path, dataset[, …])	`PartitionedDataSet` loads and saves partitioned file-like data using the underlying dataset definition.
`kedro.io.IncrementalDataSet`(path, dataset[, …])	`IncrementalDataSet` inherits from `PartitionedDataSet`, which loads and saves partitioned file-like data using the underlying dataset definition.
`kedro.io.CachedDataSet`(dataset[, version, …])	`CachedDataSet` is a dataset wrapper which caches in memory the data saved, so that the user avoids io operations with slow storage media.
`kedro.io.DataCatalogWithDefault`([data_sets, …])	A `DataCatalog` with a default `DataSet` implementation for any data set which is not registered in the catalog.

Errors¶

`kedro.io.DataSetAlreadyExistsError`	`DataSetAlreadyExistsError` raised by `DataCatalog` class in case of trying to add a data set which already exists in the `DataCatalog`.
`kedro.io.DataSetError`	`DataSetError` raised by `AbstractDataSet` implementations in case of failure of input/output methods.
`kedro.io.DataSetNotFoundError`	`DataSetNotFoundError` raised by `DataCatalog` class in case of trying to use a non-existing data set.

Base Classes¶

`kedro.io.AbstractDataSet`	`AbstractDataSet` is the base class for all data set implementations.
`kedro.io.AbstractVersionedDataSet`(filepath, …)	`AbstractVersionedDataSet` is the base class for all versioned data set implementations.
`kedro.io.AbstractTransformer`	`AbstractTransformer` is the base class for all transformer implementations.
`kedro.io.Version`	This namedtuple is used to provide load and save versions for versioned data sets.