kedro_datasets.api.APIDataset(*, url[, ...])
|
APIDataset loads/saves data from/to HTTP(S) APIs.
|
kedro_datasets.biosequence.BioSequenceDataset(*, ...)
|
BioSequenceDataset loads and saves data to a sequence file.
|
kedro_datasets.dask.ParquetDataset(*, filepath)
|
ParquetDataset loads and saves data to parquet file(s).
|
kedro_datasets.databricks.ManagedTableDataset(*, ...)
|
ManagedTableDataset loads and saves data into managed delta tables on Databricks.
|
kedro_datasets.email.EmailMessageDataset(*, ...)
|
EmailMessageDataset loads/saves an email message from/to a file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.geopandas.GeoJSONDataset(*, ...)
|
GeoJSONDataset loads/saves data to a GeoJSON file using an underlying filesystem (eg: local, S3, GCS).
|
kedro_datasets.holoviews.HoloviewsWriter(*, ...)
|
HoloviewsWriter saves Holoviews objects to image file(s) in an underlying filesystem (e.g. local, S3, GCS).
|
kedro_datasets.huggingface.HFDataset(*, ...)
|
HFDataset loads Hugging Face datasets using the datasets library.
|
kedro_datasets.huggingface.HFTransformerPipelineDataset(*)
|
HFTransformerPipelineDataset loads pretrained Hugging Face transformers using the transformers library.
|
kedro_datasets.json.JSONDataset(*, filepath)
|
JSONDataset loads/saves data from/to a JSON file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.matplotlib.MatplotlibWriter(*, ...)
|
MatplotlibWriter saves one or more Matplotlib objects as image files to an underlying filesystem (e.g. local, S3, GCS).
|
kedro_datasets.networkx.GMLDataset(*, filepath)
|
GMLDataset loads and saves graphs to a GML file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.networkx.GraphMLDataset(*, ...)
|
GraphMLDataset loads and saves graphs to a GraphML file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.networkx.JSONDataset(*, filepath)
|
NetworkX JSONDataset loads and saves graphs to a JSON file using an underlying filesystem (e.g.: local, S3, GCS). |
kedro_datasets.pandas.CSVDataset(*, filepath)
|
CSVDataset loads/saves data from/to a CSV file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.pandas.DeltaTableDataset(*[, ...])
|
DeltaTableDataset loads/saves delta tables from/to a filesystem (e.g.: local, S3, GCS), Databricks unity catalog and AWS Glue catalog respectively.
|
kedro_datasets.pandas.ExcelDataset(*, filepath)
|
ExcelDataset loads/saves data from/to a Excel file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.pandas.FeatherDataset(*, filepath)
|
FeatherDataset loads and saves data to a feather file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.pandas.GBQQueryDataset([sql, ...])
|
GBQQueryDataset loads data from a provided SQL query from Google BigQuery.
|
kedro_datasets.pandas.GBQTableDataset(*, ...)
|
GBQTableDataset loads and saves data from/to Google BigQuery.
|
kedro_datasets.pandas.GenericDataset(*, ...)
|
pandas.GenericDataset loads/saves data from/to a data file using an underlying filesystem (e.g.: local, S3, GCS). |
kedro_datasets.pandas.HDFDataset(*, ...[, ...])
|
HDFDataset loads/saves data from/to a hdf file using an underlying filesystem (e.g. local, S3, GCS).
|
kedro_datasets.pandas.JSONDataset(*, filepath)
|
JSONDataset loads/saves data from/to a JSON file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.pandas.ParquetDataset(*, filepath)
|
ParquetDataset loads/saves data from/to a Parquet file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.pandas.SQLQueryDataset([sql, ...])
|
SQLQueryDataset loads data from a provided SQL query.
|
kedro_datasets.pandas.SQLTableDataset(*, ...)
|
SQLTableDataset loads data from a SQL table and saves a pandas dataframe to a table.
|
kedro_datasets.pandas.XMLDataset(*, filepath)
|
XMLDataset loads/saves data from/to a XML file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.partitions.IncrementalDataset(*, ...)
|
IncrementalDataset inherits from PartitionedDataset, which loads and saves partitioned file-like data using the underlying dataset definition.
|
kedro_datasets.partitions.PartitionedDataset(*, ...)
|
PartitionedDataset loads and saves partitioned file-like data using the underlying dataset definition.
|
kedro_datasets.pickle.PickleDataset(*, filepath)
|
PickleDataset loads/saves data from/to a Pickle file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.pillow.ImageDataset(*, filepath)
|
ImageDataset loads/saves image data as numpy from an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.plotly.JSONDataset(*, filepath)
|
JSONDataset loads/saves a plotly figure from/to a JSON file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.plotly.PlotlyDataset(*, ...)
|
PlotlyDataset generates a plot from a pandas DataFrame and saves it to a JSON file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.polars.CSVDataset(*, filepath)
|
CSVDataset loads/saves data from/to a CSV file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.polars.EagerPolarsDataset(*, ...)
|
polars.EagerPolarsDataset loads/saves data from/to a data file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.polars.LazyPolarsDataset(*, ...)
|
LazyPolarsDataset loads/saves data from/to a data file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.redis.PickleDataset(*, key[, ...])
|
PickleDataset loads/saves data from/to a Redis database.
|
kedro_datasets.snowflake.SnowparkTableDataset(*, ...)
|
SnowparkTableDataset loads and saves Snowpark dataframes.
|
kedro_datasets.spark.DeltaTableDataset(*, ...)
|
DeltaTableDataset loads data into DeltaTable objects.
|
kedro_datasets.spark.SparkDataset(*, filepath)
|
SparkDataset loads and saves Spark dataframes.
|
kedro_datasets.spark.SparkHiveDataset(*, ...)
|
SparkHiveDataset loads and saves Spark dataframes stored on Hive.
|
kedro_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_datasets.spark.SparkStreamingDataset(*)
|
SparkStreamingDataset loads data to Spark Streaming Dataframe objects.
|
kedro_datasets.svmlight.SVMLightDataset(*, ...)
|
SVMLightDataset loads/saves data from/to a svmlight/libsvm file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.tensorflow.TensorFlowModelDataset(*, ...)
|
TensorFlowModelDataset loads and saves TensorFlow models.
|
kedro_datasets.text.TextDataset(*, filepath)
|
TextDataset loads/saves data from/to a text file using an underlying filesystem (e.g.: local, S3, GCS)
|
kedro_datasets.tracking.JSONDataset(*, filepath)
|
JSONDataset saves data to a JSON file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.tracking.MetricsDataset(*, ...)
|
MetricsDataset saves data to a JSON file using an underlying filesystem (e.g.: local, S3, GCS).
|
kedro_datasets.video.VideoDataset(*, filepath)
|
VideoDataset loads / save video data from a given filepath as sequence of PIL.Image.Image using OpenCV.
|
kedro_datasets.yaml.YAMLDataset(*, filepath)
|
YAMLDataset loads/saves data from/to a YAML file using an underlying filesystem (e.g.: local, S3, GCS).
|
