pyarrow.feather.read_feather¶

pyarrow.feather.read_feather(source, columns=None, use_threads=True, memory_map=False)[source]¶

Read a pandas.DataFrame from Feather format. To read as pyarrow.Table use feather.read_table.

Parameters:

sourcestr file 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.

Returns:

pyarrow.csv.InvalidRow

pyarrow.feather.read_table