code: def _tile_series(cls, op: "DataFrameConcat"):
      from ..datasource.from_tensor import DataFrameFromTensor
      from ..indexing.iloc import (
          SeriesIlocGetItem,
          DataFrameIlocGetItem,
      )
  
      out = op.outputs[0]
      inputs = op.inputs
      out_chunks = []
  
      if op.axis == 1:
          if has_unknown_shape(*inputs):
              yield
          new_inputs = []
          for inp in inputs:
              new_inputs.append(
                  (
                      yield from recursive_tile(
                          inp.rechunk(op.inputs[0].nsplits)
                      )
                  )
              )
          inputs = new_inputs
  
      cum_index = 0
      offset = 0
      nsplits = []
      for series in inputs:
          for c in series.chunks:
              if op.axis == 0:
                  index = (c.index[0] + cum_index,)
                  shape = c.shape
                  iloc_op = SeriesIlocGetItem(indexes=(slice(None),))
                  out_chunks.append(
                      iloc_op.new_chunk(
                          [c],
                          shape=shape,
                          index=index,
                          index_value=c.index_value,
                          dtype=c.dtype,
                          name=c.name,
                      )
                  )
              else:
                  index = (c.index[0], cum_index)
                  shape = (c.shape[0], 1)
                  to_frame_op = DataFrameFromTensor(
                      input=c,
                      index=None,
                      columns=None,
                  )
                  if c.name:
                      dtypes = pd.Series([c.dtype], index=[c.name])
                  else:
                      dtypes = pd.Series(
                          [c.dtype],
                          index=pd.RangeIndex(offset, offset + 1),
                      )
                  df_chunk = to_frame_op.new_chunk(
                      [c],
                      shape=shape,
                      index=index,
                      index_value=c.index_value,
                      columns_value=parse_index(
                          dtypes.index, store_data=True
                      ),
                      dtypes=dtypes,
                  )
                  iloc_op = DataFrameIlocGetItem(
                      indexes=[slice(None)] * 2
                  )
                  out_chunks.append(
                      iloc_op.new_chunk(
                          [df_chunk],
                          shape=df_chunk.shape,
                          index=index,
                          dtypes=df_chunk.dtypes,
                          index_value=df_chunk.index_value,
                          columns_value=df_chunk.columns_value,
                      )
                  )
  
          if op.axis == 0:
              nsplits.extend(series.nsplits[0])
              cum_index += len(series.nsplits[op.axis])
          else:
              nsplits.append(1)
              cum_index += 1
              offset += 1
  
      if op.ignore_index:
          yield out_chunks
          out_chunks = standardize_range_index(out_chunks)
  
      new_op = op.copy()
      if op.axis == 0:
          nsplits = (tuple(nsplits),)
          return new_op.new_seriess(
              op.inputs,
              out.shape,
              nsplits=nsplits,
              chunks=out_chunks,
              dtype=out.dtype,
              index_value=out.index_value,
              name=out.name,
          )
      else:
          nsplits = (inputs[0].nsplits[0], tuple(nsplits))
          return new_op.new_dataframes(
              op.inputs,
              out.shape,
              nsplits=nsplits,
              chunks=out_chunks,
              dtypes=out.dtypes,
              index_value=out.index_value,
              columns_value=out.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 5 for calling the DataFrameConcat obj's underlying member method code with example usage: obj._tile_series(cls, op) and returns: new_op, new_op