code: def _tile_column_axis_n_chunk(cls, op, in_df, out_df, out_chunks):
      if not isinstance(op.keys, str):  # pragma: no cover
          raise NotImplementedError(
              "DataFrame.set_index only support label"
          )
      if op.verify_integrity:  # pragma: no cover
          raise NotImplementedError(
              "DataFrame.set_index not support verify_integrity yet"
          )
  
      try:
          column_index = in_df.columns_value.to_pandas().get_loc(
              op.keys
          )
      except KeyError:  # pragma: no cover
          raise NotImplementedError(
              "The new index label must be a column of the original dataframe"
          )
  
      chunk_index = np.searchsorted(
          np.cumsum(in_df.nsplits[1]), column_index + 1
      )
  
      for row_idx in range(in_df.chunk_shape[0]):
          index_chunk = in_df.cix[row_idx, chunk_index]
          for col_idx in range(in_df.chunk_shape[1]):
              input_chunk = in_df.cix[row_idx, col_idx]
              if op.drop and input_chunk.key == index_chunk.key:
                  new_shape = (
                      input_chunk.shape[0],
                      input_chunk.shape[1] - 1,
                  )
                  selected = input_chunk.columns_value.to_pandas().drop(
                      op.keys
                  )
                  columns = parse_index(selected, store_data=True)
                  dtypes = input_chunk.dtypes.loc[selected]
              else:
                  new_shape = input_chunk.shape
                  columns = input_chunk.columns_value
                  dtypes = input_chunk.dtypes
              out_op = op.copy().reset_key()
              out_chunk = out_op.new_chunk(
                  [index_chunk, input_chunk],
                  shape=new_shape,
                  dtypes=dtypes,
                  index=input_chunk.index,
                  index_value=parse_index(pd.Index([], dtype=np.int64)),
                  columns_value=columns,
              )
              out_chunks.append(out_chunk)
  
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 7 for calling the DataFrameSetIndex obj's underlying member method code with example usage: obj._tile_column_axis_n_chunk(cls, op, in_df, out_df, out_chunks) without return types