pyarrow.feather.read_feather#
- pyarrow.feather.read_feather(source, columns=None, use_threads=True, memory_map=False, **kwargs)[source]#
Read a pandas.DataFrame from Feather format. To read as pyarrow.Table use feather.read_table.
- 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.
- use_threadsbool, default
True Whether to parallelize reading using multiple threads. If false the restriction is used in the conversion to Pandas as well as in the reading from Feather format.
- memory_mapbool, default
False Use memory mapping when opening file on disk, when source is a str.
- **kwargs
Additional keyword arguments passed on to pyarrow.Table.to_pandas.
- source
- Returns:
- df
pandas.DataFrame The contents of the Feather file as a pandas.DataFrame
- df