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57 lines
1.6 KiB
Python
57 lines
1.6 KiB
Python
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""" orc compat """
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import distutils
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from typing import TYPE_CHECKING, List, Optional
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from pandas._typing import FilePathOrBuffer
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from pandas.io.common import get_filepath_or_buffer
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if TYPE_CHECKING:
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from pandas import DataFrame
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def read_orc(
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path: FilePathOrBuffer, columns: Optional[List[str]] = None, **kwargs,
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) -> "DataFrame":
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"""
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Load an ORC object from the file path, returning a DataFrame.
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.. versionadded:: 1.0.0
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Parameters
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----------
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path : str, path object or file-like object
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Any valid string path is acceptable. The string could be a URL. Valid
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URL schemes include http, ftp, s3, and file. For file URLs, a host is
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expected. A local file could be:
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``file://localhost/path/to/table.orc``.
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If you want to pass in a path object, pandas accepts any
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``os.PathLike``.
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By file-like object, we refer to objects with a ``read()`` method,
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such as a file handler (e.g. via builtin ``open`` function)
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or ``StringIO``.
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columns : list, default None
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If not None, only these columns will be read from the file.
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**kwargs
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Any additional kwargs are passed to pyarrow.
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Returns
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-------
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DataFrame
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"""
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# we require a newer version of pyarrow than we support for parquet
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import pyarrow
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if distutils.version.LooseVersion(pyarrow.__version__) < "0.13.0":
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raise ImportError("pyarrow must be >= 0.13.0 for read_orc")
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import pyarrow.orc
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path, _, _, _ = get_filepath_or_buffer(path)
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orc_file = pyarrow.orc.ORCFile(path)
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result = orc_file.read(columns=columns, **kwargs).to_pandas()
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return result
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