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#
An array-like composed from a (possibly empty) collection of pyarrow.Arrays
Batch of rows of columns of equal length
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.
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.