code: def tile(cls, op):
      in_df = op.inputs[0]
      out_df = op.outputs[0]
  
      out_chunks = []
      if in_df.chunk_shape[1] > 1:
          cls._tile_column_axis_n_chunk(op, in_df, out_df, out_chunks)
      else:
          cls._tile_column_axis_1_chunk(op, in_df, out_df, out_chunks)
  
      new_op = op.copy()
      columns_nsplits = list(in_df.nsplits[1])
      if op.drop:
          columns_nsplits = tuple(
              split - 1 if i == 0 else split
              for i, split in enumerate(columns_nsplits)
          )
      nsplits = (in_df.nsplits[0], columns_nsplits)
      return new_op.new_dataframes(
          op.inputs,
          out_df.shape,
          dtypes=out_df.dtypes,
          index_value=out_df.index_value,
          columns_value=out_df.columns_value,
          chunks=out_chunks,
          nsplits=nsplits,
      )
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType
  from ...serialization.serializables import AnyField, BoolField
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import build_empty_df, parse_index
label_desc: Use image node_id 9 for calling the DataFrameSetIndex obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op