code: def _tile_dataframe(cls, op):
      from ..indexing.iloc import DataFrameIlocGetItem
  
      out_df = op.outputs[0]
      inputs = op.inputs
      axis = op.axis
  
      if not all(
          inputs[i].nsplits[1 - axis] == inputs[i + 1].nsplits[1 - axis]
          for i in range(len(inputs) - 1)
      ):
          # need rechunk
          if has_unknown_shape(*inputs):
              yield
          normalized_nsplits = {1 - axis: inputs[0].nsplits[1 - axis]}
          new_inputs = []
          for inp in inputs:
              new_inputs.append(
                  (
                      yield from recursive_tile(
                          inp.rechunk(normalized_nsplits)
                      )
                  )
              )
          inputs = new_inputs
  
      out_chunks = []
      nsplits = []
      cum_index = 0
      for df in inputs:
          for c in df.chunks:
              if op.axis == 0:
                  index = (c.index[0] + cum_index, c.index[1])
              else:
                  index = (c.index[0], c.index[1] + cum_index)
  
              iloc_op = DataFrameIlocGetItem(indexes=[slice(None)] * 2)
              out_chunks.append(
                  iloc_op.new_chunk(
                      [c],
                      shape=c.shape,
                      index=index,
                      dtypes=c.dtypes,
                      index_value=c.index_value,
                      columns_value=c.columns_value,
                  )
              )
          nsplits.extend(df.nsplits[op.axis])
          cum_index += len(df.nsplits[op.axis])
      out_nsplits = (
          (tuple(nsplits), inputs[0].nsplits[1])
          if op.axis == 0
          else (inputs[0].nsplits[0], tuple(nsplits))
      )
  
      if op.ignore_index:
          yield out_chunks
          out_chunks = standardize_range_index(out_chunks)
  
      new_op = op.copy()
      return new_op.new_dataframes(
          op.inputs,
          out_df.shape,
          nsplits=out_nsplits,
          chunks=out_chunks,
          dtypes=out_df.dtypes,
          index_value=out_df.index_value,
          columns_value=out_df.columns_value,
      )
  
imports: import pandas
  import numpy
  from ...None import opcodes
  from ...core import ENTITY_TYPE, OutputType, recursive_tile
  from ...serialization.serializables import FieldTypes, ListField, StringField, BoolField, AnyField
  from ...utils import lazy_import, has_unknown_shape
  from ..operands import DataFrameOperand, DataFrameOperandMixin, SERIES_TYPE
  from ..utils import parse_index, build_empty_df, build_empty_series, standardize_range_index, validate_axis
label_desc: Use image node_id 4 for calling the DataFrameConcat obj's underlying member method code with example usage: obj._tile_dataframe(cls, op) and returns: new_op