api.APIDataset (*, url[, method, load_args, ...])
|
APIDataset loads/saves data from/to HTTP(S) APIs.
|
biosequence.BioSequenceDataset (*, filepath)
|
BioSequenceDataset loads and saves data to a sequence file.
|
dask.CSVDataset (filepath[, load_args, ...])
|
CSVDataset loads and saves data to comma-separated value file(s).
|
dask.ParquetDataset (*, filepath[, ...])
|
ParquetDataset loads and saves data to parquet file(s).
|
databricks.ManagedTableDataset (*, table[, ...])
|
ManagedTableDataset loads and saves data into managed delta tables in Databricks.
|
email.EmailMessageDataset (*, filepath[, ...])
|
EmailMessageDataset loads/saves an email message from/to a file using an underlying filesystem (e.g.: local, S3, GCS).
|
geopandas.GenericDataset (*, filepath[, ...])
|
GenericDataset loads/saves data to a file using an underlying filesystem (eg: local, S3, GCS).
|
holoviews.HoloviewsWriter (*, filepath[, ...])
|
HoloviewsWriter saves Holoviews objects to image file(s) in an underlying filesystem (e.g. local, S3, GCS).
|
huggingface.HFDataset (*, dataset_name[, ...])
|
HFDataset loads Hugging Face datasets using the datasets library.
|
huggingface.HFTransformerPipelineDataset (*)
|
HFTransformerPipelineDataset loads pretrained Hugging Face transformers using the transformers library.
|
ibis.FileDataset (filepath[, file_format, ...])
|
FileDataset loads/saves data from/to a specified file format.
|
ibis.TableDataset (*, table_name[, database, ...])
|
TableDataset loads/saves data from/to Ibis table expressions.
|
json.JSONDataset (*, filepath[, save_args, ...])
|
JSONDataset loads/saves data from/to a JSON file using an underlying filesystem (e.g.: local, S3, GCS).
|
matlab.MatlabDataset (filepath[, save_args, ...])
|
MatlabDataSet loads and saves data from/to a MATLAB file using scipy.io. |
matplotlib.MatplotlibDataset (*, filepath[, ...])
|
MatplotlibDataset saves one or more Matplotlib objects as image files to an underlying filesystem (e.g. local, S3, GCS).
|
matplotlib.MatplotlibWriter (**kwargs)
|
MatplotlibWriter saves one or more Matplotlib objects as image files to an underlying filesystem (e.g. local, S3, GCS).
|
networkx.GMLDataset (*, filepath[, ...])
|
GMLDataset loads and saves graphs to a GML file using an underlying filesystem (e.g.: local, S3, GCS).
|
networkx.GraphMLDataset (*, filepath[, ...])
|
GraphMLDataset loads and saves graphs to a GraphML file using an underlying filesystem (e.g.: local, S3, GCS).
|
networkx.JSONDataset (*, filepath[, ...])
|
NetworkX JSONDataset loads and saves graphs to a JSON file using an underlying filesystem (e.g.: local, S3, GCS). |
pandas.CSVDataset (*, filepath[, load_args, ...])
|
CSVDataset loads/saves data from/to a CSV file using an underlying filesystem (e.g.: local, S3, GCS).
|
pandas.DeltaTableDataset (*[, filepath, ...])
|
DeltaTableDataset loads/saves delta tables from/to a filesystem (e.g.: local, S3, GCS), Databricks unity catalog and AWS Glue catalog respectively.
|
pandas.ExcelDataset (*, filepath[, engine, ...])
|
ExcelDataset loads/saves data from/to a Excel file using an underlying filesystem (e.g.: local, S3, GCS).
|
pandas.FeatherDataset (*, filepath[, ...])
|
FeatherDataset loads and saves data to a feather file using an underlying filesystem (e.g.: local, S3, GCS).
|
pandas.GBQQueryDataset ([sql, project, ...])
|
GBQQueryDataset loads data from a provided SQL query from Google BigQuery.
|
pandas.GBQTableDataset (*, dataset, table_name)
|
GBQTableDataset loads and saves data from/to Google BigQuery.
|
pandas.GenericDataset (*, filepath, file_format)
|
pandas.GenericDataset loads/saves data from/to a data file using an underlying filesystem (e.g.: local, S3, GCS). |
pandas.HDFDataset (*, filepath, key[, ...])
|
HDFDataset loads/saves data from/to a hdf file using an underlying filesystem (e.g. local, S3, GCS).
|
pandas.JSONDataset (*, filepath[, load_args, ...])
|
JSONDataset loads/saves data from/to a JSON file using an underlying filesystem (e.g.: local, S3, GCS).
|
pandas.ParquetDataset (*, filepath[, ...])
|
ParquetDataset loads/saves data from/to a Parquet file using an underlying filesystem (e.g.: local, S3, GCS).
|
pandas.SQLQueryDataset ([sql, credentials, ...])
|
SQLQueryDataset loads data from a provided SQL query.
|
pandas.SQLTableDataset (*, table_name, ...[, ...])
|
SQLTableDataset loads data from a SQL table and saves a pandas dataframe to a table.
|
pandas.XMLDataset (*, filepath[, load_args, ...])
|
XMLDataset loads/saves data from/to a XML file using an underlying filesystem (e.g.: local, S3, GCS).
|
partitions.IncrementalDataset (*, path, dataset)
|
IncrementalDataset inherits from PartitionedDataset , which loads and saves partitioned file-like data using the underlying dataset definition.
|
partitions.PartitionedDataset (*, path, dataset)
|
PartitionedDataset loads and saves partitioned file-like data using the underlying dataset definition.
|
pickle.PickleDataset (*, filepath[, backend, ...])
|
PickleDataset loads/saves data from/to a Pickle file using an underlying filesystem (e.g.: local, S3, GCS).
|
pillow.ImageDataset (*, filepath[, ...])
|
ImageDataset loads/saves image data as numpy from an underlying filesystem (e.g.: local, S3, GCS).
|
plotly.HTMLDataset (*, filepath[, save_args, ...])
|
HTMLDataset saves a plotly figure to an HTML file using an underlying filesystem (e.g.: local, S3, GCS).
|
plotly.JSONDataset (*, filepath[, load_args, ...])
|
JSONDataset loads/saves a plotly figure from/to a JSON file using an underlying filesystem (e.g.: local, S3, GCS).
|
plotly.PlotlyDataset (*, filepath, plotly_args)
|
PlotlyDataset generates a plot from a pandas DataFrame and saves it to a JSON file using an underlying filesystem (e.g.: local, S3, GCS).
|
polars.CSVDataset (*, filepath[, load_args, ...])
|
CSVDataset loads/saves data from/to a CSV file using an underlying filesystem (e.g.: local, S3, GCS).
|
polars.EagerPolarsDataset (*, filepath, ...)
|
polars.EagerPolarsDataset loads/saves data from/to a data file using an underlying filesystem (e.g.: local, S3, GCS).
|
polars.LazyPolarsDataset (*, filepath, ...[, ...])
|
LazyPolarsDataset loads/saves data from/to a data file using an underlying filesystem (e.g.: local, S3, GCS).
|
redis.PickleDataset (*, key[, backend, ...])
|
PickleDataset loads/saves data from/to a Redis database.
|
snowflake.SnowparkTableDataset (*, table_name)
|
SnowparkTableDataset loads and saves Snowpark DataFrames.
|
spark.DeltaTableDataset (*, filepath[, metadata])
|
DeltaTableDataset loads data into DeltaTable objects.
|
spark.SparkDataset (*, filepath[, ...])
|
SparkDataset loads and saves Spark dataframes.
|
spark.SparkHiveDataset (*, database, table[, ...])
|
SparkHiveDataset loads and saves Spark dataframes stored on Hive.
|
spark.SparkJDBCDataset (*, url, table[, ...])
|
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.
|
spark.SparkStreamingDataset (*[, filepath, ...])
|
SparkStreamingDataset loads data to Spark Streaming Dataframe objects.
|
svmlight.SVMLightDataset (*, filepath[, ...])
|
SVMLightDataset loads/saves data from/to a svmlight/libsvm file using an underlying filesystem (e.g.: local, S3, GCS).
|
tensorflow.TensorFlowModelDataset (*, filepath)
|
TensorFlowModelDataset loads and saves TensorFlow models.
|
text.TextDataset (*, filepath[, version, ...])
|
TextDataset loads/saves data from/to a text file using an underlying filesystem (e.g.: local, S3, GCS)
|
yaml.YAMLDataset (*, filepath[, save_args, ...])
|
YAMLDataset loads/saves data from/to a YAML file using an underlying filesystem (e.g.: local, S3, GCS).
|