pyarrow.feather.read_table#
- pyarrow.feather.read_table(source, columns=None, memory_map=False, use_threads=True)[source]#
Read a pyarrow.Table from Feather format
Deprecated since version 24.0.0: Use
pyarrow.ipc.open_file()/pyarrow.ipc.RecordBatchFileReaderinstead. Feather V2 is the Arrow IPC file format.- Parameters:
- source
strfile path, or file-like object You can use MemoryMappedFile as source, for explicitly use memory map.
- columnssequence, optional
Only read a specific set of columns. If not provided, all columns are read.
- memory_mapbool, default
False Use memory mapping when opening file on disk, when source is a str
- use_threadsbool, default
True Whether to parallelize reading using multiple threads.
- source
- Returns:
- table
pyarrow.Table The contents of the Feather file as a pyarrow.Table
- table