pandas.read_feather
- pandas.read_feather(path, columns=None, use_threads=True, storage_options=None)[source]
-
Load a feather-format object from the file path.
- Parameters
-
- path:str, 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 builtinopen
function) orStringIO
. - 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
as header options. For other URLs (e.g. starting with “s3://”, and “gcs://”) the key-value pairs are forwarded tofsspec
. Please seefsspec
andurllib
for more details.New in version 1.2.0.
- Returns
-
- type of object stored in file
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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/1.3.4/reference/api/pandas.read_feather.html