mirror of
https://github.com/kristoferssolo/School.git
synced 2025-10-21 20:10:38 +00:00
58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
""" orc compat """
|
|
from __future__ import annotations
|
|
|
|
from typing import TYPE_CHECKING
|
|
|
|
from pandas._typing import FilePathOrBuffer
|
|
from pandas.compat._optional import import_optional_dependency
|
|
|
|
from pandas.io.common import get_handle
|
|
|
|
if TYPE_CHECKING:
|
|
from pandas import DataFrame
|
|
|
|
|
|
def read_orc(
|
|
path: FilePathOrBuffer, columns: list[str] | None = None, **kwargs
|
|
) -> DataFrame:
|
|
"""
|
|
Load an ORC object from the file path, returning a DataFrame.
|
|
|
|
.. versionadded:: 1.0.0
|
|
|
|
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.orc``.
|
|
|
|
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``.
|
|
columns : list, default None
|
|
If not None, only these columns will be read from the file.
|
|
**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>`.
|
|
"""
|
|
# we require a newer version of pyarrow than we support for parquet
|
|
|
|
orc = import_optional_dependency("pyarrow.orc")
|
|
|
|
with get_handle(path, "rb", is_text=False) as handles:
|
|
orc_file = orc.ORCFile(handles.handle)
|
|
return orc_file.read(columns=columns, **kwargs).to_pandas()
|