code: def tile(cls, op):
      in_df = op.input
      out_df = op.outputs[0]
  
      # make sure only 1 chunk on the column axis
      if in_df.chunk_shape[1] > 1:
          if has_unknown_shape(in_df):
              yield
          in_df = yield from recursive_tile(
              in_df.rechunk({1: in_df.shape[1]})
          )
  
      out_chunks = []
      for chunk in in_df.chunks:
          chunk_op = op.copy().reset_key()
          index_value = parse_index(
              chunk.index_value.to_pandas()[:0], chunk
          )
          out_chunk = chunk_op.new_chunk(
              [chunk],
              shape=(0, 0),
              index_value=index_value,
              columns_value=out_df.columns_value,
              dtypes=out_df.dtypes,
              index=chunk.index,
          )
          out_chunks.append(out_chunk)
  
      new_op = op.copy()
      params = out_df.params.copy()
      params.update(
          dict(
              chunks=out_chunks,
              nsplits=((0,) * in_df.chunk_shape[0], (0,)),
          )
      )
      return new_op.new_tileables([in_df], **params)
  
imports: import pandas
  from ...None import opcodes
  from ...core import recursive_tile
  from ...lib.filesystem import open_file, get_fs
  from ...serialization.serializables import KeyField, AnyField, StringField, ListField, BoolField, DictField
  from ...utils import has_unknown_shape
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index
  from ..datasource.read_parquet import check_engine
label_desc: Use image node_id 12 for calling the DataFrameToParquet obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op