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:

pathstr, path object, or file-like object

String, path object (implementingos.PathLike[str]), or file-likeobject implementing a binaryread() function. The string could be a URL.Valid URL schemes include http, ftp, s3, and file. For file URLs, a host isexpected. A local file could be:file://localhost/path/to/table.feather.

columnssequence, default None

If not provided, all columns are read.

use_threadsbool, default True

Whether to parallelize reading using multiple threads.

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 pairsare forwarded tourllib.request.Request as header options. For otherURLs (e.g. starting with “s3://”, and “gcs://”) the key-value pairs areforwarded tofsspec.open. Please seefsspec andurllib for moredetails, and for more examples on storage options referhere.

dtype_backend{‘numpy_nullable’, ‘pyarrow’}, default ‘numpy_nullable’

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

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

• "pyarrow": returns pyarrow-backed nullableArrowDtypeDataFrame.

Added in version 2.0.

Returns:

type of object stored in file

Examples

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