Tabular File Formats

CSV Files

ReadOptions([use_threads, block_size])	Options for reading CSV files.
ParseOptions([delimiter, quote_char, …])	Options for parsing CSV files.
ConvertOptions([check_utf8, column_types, …])	Options for converting CSV data.
read_csv(input_file[, read_options, …])	Read a Table from a stream of CSV data.

Feather Files

read_feather(source[, columns, use_threads])	Read a pandas.DataFrame from Feather format
write_feather(df, dest)	Write a pandas.DataFrame to Feather format

Parquet Files

ParquetDataset(path_or_paths[, filesystem, …])	Encapsulates details of reading a complete Parquet dataset possibly consisting of multiple files and partitions in subdirectories
ParquetFile(source[, metadata, …])	Reader interface for a single Parquet file
ParquetWriter(where, schema[, filesystem, …])	Class for incrementally building a Parquet file for Arrow tables
read_table(source[, columns, use_threads, …])	Read a Table from Parquet format
read_metadata(where[, memory_map])	Read FileMetadata from footer of a single Parquet file
read_pandas(source[, columns, use_threads, …])	Read a Table from Parquet format, also reading DataFrame index values if known in the file metadata
read_schema(where[, memory_map])	Read effective Arrow schema from Parquet file metadata
write_metadata(schema, where[, version, …])	Write metadata-only Parquet file from schema
write_table(table, where[, row_group_size, …])	Write a Table to Parquet format
write_to_dataset(table, root_path[, …])	Wrapper around parquet.write_table for writing a Table to Parquet format by partitions.