Function read_table

python/pyarrow/feather.py:289–312

Read a pyarrow.Table from Feather 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, a

(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

    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
    """
    return _read_table_internal(source, columns=columns,
                                memory_map=memory_map,
                                use_threads=use_threads)