pandas.read_orc#
- pandas.read_orc(path, columns=None, dtype_backend=_NoDefault.no_default, **kwargs)[source]#
Load an ORC object from the file path, returning a DataFrame.
- Parameters
- pathstr, path object, or file-like object
String, path object (implementing
os.PathLike[str]), or file-like object implementing a binaryread()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.orc.- columnslist, default None
If not None, only these columns will be read from the file. Output always follows the ordering of the file and not the columns list. This mirrors the original behaviour of
pyarrow.orc.ORCFile.read().- dtype_backend{“numpy_nullable”, “pyarrow”}, defaults to NumPy backed DataFrames
Which dtype_backend to use, e.g. whether a DataFrame should have NumPy arrays, nullable dtypes are used for all dtypes that have a nullable implementation when “numpy_nullable” is set, pyarrow is used for all dtypes if “pyarrow” is set.
The dtype_backends are still experimential.
New in version 2.0.
- **kwargs
Any additional kwargs are passed to pyarrow.
- Returns
- DataFrame
Notes
Before using this function you should read the user guide about ORC and install optional dependencies.