pandas.read_feather

pandas.read_feather(path, columns=None, use_threads=True, storage_options=None, dtype_backend=<no_default>)[source]

Load a feather-format object from the file path.

Parameters:

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.

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.

Added in version 2.0.

Returns:

type of object stored in file

Examples

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