Function read_table

python/pyarrow/feather.py:301–336

Read a pyarrow.Table from Feather format .. deprecated:: 24.0.0 Use :func:`pyarrow.ipc.open_file` / :class:`pyarrow.ipc.RecordBatchFileReader` instead. Feather V2 is the Arrow IPC file format. Parameters ---------- source : str file path, or file-like obje

(source, columns=None, memory_map=False, use_threads=True)

def read_table(source, columns=None, memory_map=False, use_threads=True):
    """
    Read a pyarrow.Table from Feather format

    .. deprecated:: 24.0.0
       Use :func:`pyarrow.ipc.open_file` /
       :class:`pyarrow.ipc.RecordBatchFileReader` instead.
       Feather V2 is the Arrow IPC file format.

    Parameters
    ----------
    source : str file path, or file-like object
        You can use MemoryMappedFile as source, for explicitly use memory map.
    columns : sequence, optional
        Only read a specific set of columns. If not provided, all columns are
        read.
    memory_map : boolean, default False
        Use memory mapping when opening file on disk, when source is a str
    use_threads : bool, default True
        Whether to parallelize reading using multiple threads.

    Returns
    -------
    table : pyarrow.Table
        The contents of the Feather file as a pyarrow.Table
    """
    warnings.warn(
        "pyarrow.feather.read_table is deprecated as of 24.0.0. "
        "Use pyarrow.ipc.open_file() / RecordBatchFileReader instead. "
        "Feather V2 is the Arrow IPC file format.",
        FutureWarning,
        stacklevel=2
    )
    return _read_table_internal(source, columns=columns,
                                memory_map=memory_map,
                                use_threads=use_threads)