code: def read_predictions(self, path: str) -> pd.DataFrame:
      pred_df = pd.read_parquet(path)
      column_shapes = load_json(
          os.path.join(
              os.path.dirname(path), PREDICTIONS_SHAPES_FILE_NAME
          )
      )
      return unflatten_df(pred_df, column_shapes, self)
  
imports: import os
  import numpy
  import pandas
  from ludwig.data.dataframe.base import DataFrameEngine
  from ludwig.globals import PREDICTIONS_SHAPES_FILE_NAME
  from ludwig.utils.data_utils import load_json, save_json, split_by_slices
  from ludwig.utils.dataframe_utils import flatten_df, unflatten_df
label_desc: Use image node_id 17 for calling the PandasEngine obj's underlying member method code with example usage: obj.read_predictions(path) and returns: unflatten_df