pandas.read_feather

pandas.read_feather(path, columns=None, use_threads=True, storage_options=None)

Load a feather-format object from the file path.

Parameters

pathstr, path object or file-like object

Any valid string path is acceptable. 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.

If you want to pass in a path object, pandas accepts any os.PathLike.

By file-like object, we refer to objects with a read() method, such as a file handle (e.g. via builtin open function) or StringIO.

columnssequence, default None

If not provided, all columns are read.

New in version 0.24.0.

use_threadsbool, default True

Whether to parallelize reading using multiple threads.

New in version 0.24.0.

storage_optionsdict, optional

Extra options that make sense for a particular storage connection, e.g. host, port, username, password, etc., if using a URL that will be parsed by fsspec, e.g., starting “s3://”, “gcs://”. An error will be raised if providing this argument with a non-fsspec URL. See the fsspec and backend storage implementation docs for the set of allowed keys and values.

New in version 1.2.0.

Returns

type of object stored in file

pandas.HDFStore.walk pandas.read_parquet