def read_parquet(path, engine='<STR_LIT>', columns=None, **kwargs):
impl = get_engine(engine)<EOL>return impl.read(path, columns=columns, **kwargs)<EOL>
Load a parquet object from the file path, returning a DataFrame.

.. versionadded 0.21.0

Parameters
----------
path : string
    File path
engine : {'auto', 'pyarrow', 'fastparquet'}, default 'auto'
    Parquet library to use. If 'auto', then the option
    ``io.parquet.engine`` is used. The default ``io.parquet.engine``
    behavior is to try 'pyarrow', falling back to 'fastparquet' if
    'pyarrow' is unavailable.
columns : list, default=None
    If not None, only these columns will be read from the file.

    .. versionadded 0.21.1
**kwargs
    Any additional kwargs are passed to the engine.

Returns
-------
DataFrame