Tables and Tensors

Factory Functions

chunked_array(arrays[, type])	Construct chunked array from list of array-like objects
concat_arrays(arrays, ...)	Concatenate the given arrays.
concat_tables(tables, ...)	Concatenate pyarrow.Table objects.
record_batch(data[, names, schema, metadata])	Create a pyarrow.RecordBatch from another Python data structure or sequence of arrays.
concat_batches(recordbatches, ...)	Concatenate pyarrow.RecordBatch objects.
table(data[, names, schema, metadata, nthreads])	Create a pyarrow.Table from a Python data structure or sequence of arrays.

Classes

ChunkedArray()	An array-like composed from a (possibly empty) collection of pyarrow.Arrays
RecordBatch	Batch of rows of columns of equal length
Table	A collection of top-level named, equal length Arrow arrays.
TableGroupBy(table, keys[, use_threads])	A grouping of columns in a table on which to perform aggregations.
RecordBatchReader()	Base class for reading stream of record batches.

Dataframe Interchange Protocol

interchange.from_dataframe(df[, allow_copy])

Build a pa.Table from any DataFrame supporting the interchange protocol.

Tensors

Tensor()

A n-dimensional array a.k.a Tensor.