Vous êtes un professionnel et vous avez besoin d'une formation ? Programmation Python
Les fondamentaux Voir le programme détaillé

Module « pandas »

Fonction read_orc - module pandas

Signature de la fonction read_orc

def read_orc(path: 'FilePath | ReadBuffer[bytes]', columns: 'list[str] | None' = None, dtype_backend: 'DtypeBackend | lib.NoDefault' = <no_default>, filesystem: 'pyarrow.fs.FileSystem | fsspec.spec.AbstractFileSystem | None' = None, **kwargs: 'Any') -> 'DataFrame' 

Description

help(pandas.read_orc)

Load an ORC object from the file path, returning a DataFrame.

Parameters
----------
path : str, path object, or file-like object
    String, path object (implementing ``os.PathLike[str]``), or file-like
    object implementing a binary ``read()`` 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``.
columns : list, 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
    :external+pyarrow:py:meth:`pyarrow.orc.ORCFile.read`.
dtype_backend : {'numpy_nullable', 'pyarrow'}, default 'numpy_nullable'
    Back-end data type applied to the resultant :class:`DataFrame`
    (still experimental). Behaviour is as follows:

    * ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame`
      (default).
    * ``"pyarrow"``: returns pyarrow-backed nullable :class:`ArrowDtype`
      DataFrame.

    .. versionadded:: 2.0

filesystem : fsspec or pyarrow filesystem, default None
    Filesystem object to use when reading the parquet file.

    .. versionadded:: 2.1.0

**kwargs
    Any additional kwargs are passed to pyarrow.

Returns
-------
DataFrame

Notes
-----
Before using this function you should read the :ref:`user guide about ORC <io.orc>`
and :ref:`install optional dependencies <install.warn_orc>`.

If ``path`` is a URI scheme pointing to a local or remote file (e.g. "s3://"),
a ``pyarrow.fs`` filesystem will be attempted to read the file. You can also pass a
pyarrow or fsspec filesystem object into the filesystem keyword to override this
behavior.

Examples
--------
>>> result = pd.read_orc("example_pa.orc")  # doctest: +SKIP

Vous êtes un professionnel et vous avez besoin d'une formation ? Programmation Python
Les compléments Voir le programme détaillé