xorbits.pandas.read_feather(path: FilePath | ReadBuffer[bytes], columns: Sequence[Hashable] | None = None, use_threads: bool = True, storage_options: StorageOptions | None = None, dtype_backend: DtypeBackend | lib.NoDefault = _NoDefault.no_default) DataFrame[source]#

Load a feather-format object from the file path.

  • path (str, path object, or file-like object) – String, path object (implementing os.PathLike[str]), or file-like object implementing a binary read() function. The string could be a URL. Valid URL schemes include http, ftp, s3, and file. For file URLs, a host is expected. A local file could be: file://localhost/path/to/table.feather.

  • columns (sequence, default None) – If not provided, all columns are read.

  • use_threads (bool, default True) – Whether to parallelize reading using multiple threads.

  • storage_options (dict, optional) –

    Extra options that make sense for a particular storage connection, e.g. host, port, username, password, etc. For HTTP(S) URLs the key-value pairs are forwarded to urllib.request.Request as header options. For other URLs (e.g. starting with “s3://”, and “gcs://”) the key-value pairs are forwarded to fsspec.open. Please see fsspec and urllib for more details, and for more examples on storage options refer here.

    New in version 1.2.0(pandas).

  • dtype_backend ({'numpy_nullable', 'pyarrow'}, default 'numpy_nullable') –

    Back-end data type applied to the resultant DataFrame (still experimental). Behaviour is as follows:

    • "numpy_nullable": returns nullable-dtype-backed DataFrame (default).

    • "pyarrow": returns pyarrow-backed nullable ArrowDtype DataFrame.

    New in version 2.0(pandas).

Return type

type of object stored in file


>>> df = pd.read_feather("path/to/file.feather")  


This method has not been implemented yet. Xorbits will try to execute it with pandas.

This docstring was copied from pandas.