Input/output

CSV

read_csv(filepath_or_buffer[, sep, ...])	Load a comma-separated-values (CSV) dataset into a DataFrame
DataFrame.to_csv([path_or_buf, sep, na_rep, ...])	Write a dataframe to csv file format.

Text

read_text(filepath_or_buffer[, delimiter, ...])

Configuration object for a text Datasource

JSON

read_json(path_or_buf[, engine, orient, ...])	Load a JSON dataset into a DataFrame
DataFrame.to_json([path_or_buf])	Convert the cuDF object to a JSON string.

Parquet

read_parquet(filepath_or_buffer[, engine, ...])	Load a Parquet dataset into a DataFrame
DataFrame.to_parquet(path[, engine, ...])	Write a DataFrame to the parquet format.
cudf.io.parquet.read_parquet_metadata(...)	Read a Parquet file's metadata and schema
cudf.io.parquet.ParquetDatasetWriter(path, ...)	Write a parquet file or dataset incrementally
cudf.io.parquet.ParquetDatasetWriter.close([...])	Close all open files and optionally return footer metadata as a binary blob
cudf.io.parquet.ParquetDatasetWriter.write_table(df)	Write a dataframe to the file/dataset

ORC

read_orc(filepath_or_buffer[, engine, ...])	Load an ORC dataset into a DataFrame
DataFrame.to_orc(fname[, compression, ...])	Write a DataFrame to the ORC format.

HDFStore: PyTables (HDF5)

read_hdf(path_or_buf, *args, **kwargs)	Read from the store, close it if we opened it.
DataFrame.to_hdf(path_or_buf, key, *args, ...)	Write the contained data to an HDF5 file using HDFStore.

Warning

HDF reader and writers are not GPU accelerated. These currently use CPU via Pandas. This may be GPU accelerated in the future.

Feather

read_feather(path, *args, **kwargs)	Load an feather object from the file path, returning a DataFrame.
DataFrame.to_feather(path, *args, **kwargs)	Write a DataFrame to the feather format.

Warning

Feather reader and writers are not GPU accelerated. These currently use CPU via Pandas. This may be GPU accelerated in the future.

Avro

read_avro(filepath_or_buffer[, columns, ...])

Load an Avro dataset into a DataFrame