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. For HTTP(S) URLs the key-value pairs are forwarded to urllib as header options. For other URLs (e.g. starting with “s3://”, and “gcs://”) the key-value pairs are forwarded to fsspec. Please see fsspec and urllib for more details.

New in version 1.2.0.

Returns

type of object stored in file

pandas.HDFStore.walk pandas.read_parquet