ak.from_feather#

Defined in awkward.operations.ak_from_feather on line 12.

ak.from_feather(path, *, columns=None, use_threads=True, memory_map=False, generate_bitmasks=False, highlevel=True, behavior=None, attrs=None)#
Parameters:

  • path (str or file-like object) – Feather file to read as an Awkward Array, passed directly to pyarrow.feather.read_table.

  • columns (sequence) – Only read a specific set of columns. If not provided, all columns are read.

  • use_threads (bool) – If True, parallelize reading using multiple threads.

  • memory_map (bool) – If True, use memory mapping when opening file on disk, when source is a string.

  • generate_bitmasks (bool) – If enabled and Arrow/Parquet does not have Awkward metadata, generate_bitmasks=True creates empty bitmasks for nullable types that don’t have bitmasks in the Arrow/Parquet data, so that the Form (BitMaskedForm vs UnmaskedForm) is predictable.

  • highlevel (bool) – If True, return an ak.Array; otherwise, return a low-level ak.contents.Content subclass.

  • behavior (None or dict) – Custom ak.behavior for the output array, if high-level.

  • attrs (None or dict) – Custom attributes for the output array, if high-level.

Reads an Feather file as an Awkward Array (through pyarrow).

>>> ak.from_feather("file_name.feather")
<Array [[1.1, 2.2, 3.3], [], [4.4, 5.5]] type='3 * var * float64'>

See also ak.to_feather.