Method read

pandas/io/parquet.py:240–286

(
        self,
        path,
        columns=None,
        filters=None,
        dtype_backend: DtypeBackend | lib.NoDefault = lib.no_default,
        storage_options: StorageOptions | None = None,
        filesystem=None,
        to_pandas_kwargs: dict[str, Any] | None = None,
        **kwargs,
    )

                handles.close()

    def read(
        self,
        path,
        columns=None,
        filters=None,
        dtype_backend: DtypeBackend | lib.NoDefault = lib.no_default,
        storage_options: StorageOptions | None = None,
        filesystem=None,
        to_pandas_kwargs: dict[str, Any] | None = None,
        **kwargs,
    ) -> DataFrame:
        kwargs["use_pandas_metadata"] = True

        path_or_handle, handles, filesystem = _get_path_or_handle(
            path,
            filesystem,
            storage_options=storage_options,
            mode="rb",
        )
        try:
            pa_table = self.api.parquet.read_table(
                path_or_handle,
                columns=columns,
                filesystem=filesystem,
                filters=filters,
                **kwargs,
            )
            with catch_warnings():
                filterwarnings(
                    "ignore",
                    "make_block is deprecated",
                    Pandas4Warning,
                )
                result = arrow_table_to_pandas(
                    pa_table,
                    dtype_backend=dtype_backend,
                    to_pandas_kwargs=to_pandas_kwargs,
                )

            if pa_table.schema.metadata:
                if b"PANDAS_ATTRS" in pa_table.schema.metadata:
                    df_metadata = pa_table.schema.metadata[b"PANDAS_ATTRS"]
                    result.attrs = json.loads(df_metadata)
            return result
        finally:
            if handles is not None:
                handles.close()


class FastParquetImpl(BaseImpl):