code: def tile(cls, op: "DataFrameInsert"):
      inp = op.inputs[0]
      value = op.value
      if isinstance(value, (SERIES_TYPE, TENSOR_TYPE)):
          value = yield from recursive_tile(
              value.rechunk({0: inp.nsplits[0]})
          )
      out = op.outputs[0]
  
      chunk_bounds = np.cumsum((0,) + inp.nsplits[1])
      chunk_bounds[-1] += 1
  
      chunks = []
      new_split = list(inp.nsplits[1])
      chunk_dtypes = None
      chunk_columns_value = None
      for c in inp.chunks:
          left_bound = int(chunk_bounds[c.index[1]])
          right_bound = int(chunk_bounds[c.index[1] + 1])
          if left_bound > op.loc or right_bound <= op.loc:
              chunks.append(c)
              continue
  
          if chunk_dtypes is None:
              new_split[c.index[1]] = inp.nsplits[1][c.index[1]] + 1
  
              if isinstance(value, (SERIES_TYPE, TENSOR_TYPE)):
                  value_dtype = value.dtype
              else:
                  value_dtype = pd.Series(value).dtype
  
              empty_df = build_empty_df(c.dtypes)
              empty_df.insert(
                  loc=op.loc - left_bound,
                  column=op.column,
                  allow_duplicates=op.allow_duplicates,
                  value=pd.Series([], dtype=value_dtype),
              )
  
              chunk_dtypes = empty_df.dtypes
              chunk_columns_value = parse_index(
                  chunk_dtypes.index, store_data=True
              )
  
          params = c.params
          params["columns_value"] = chunk_columns_value
          params["dtypes"] = chunk_dtypes
          params["shape"] = (c.shape[0], c.shape[1] + 1)
  
          new_op = op.copy().reset_key()
          new_op._loc = op.loc - left_bound
  
          if isinstance(value, (SERIES_TYPE, TENSOR_TYPE)):
              inputs = [c, value.chunks[c.index[0]]]
          else:
              inputs = [c]
          chunks.append(new_op.new_chunk(inputs, **params))
  
      new_op = op.copy().reset_key()
      return new_op.new_tileables(
          [inp],
          chunks=chunks,
          nsplits=(inp.nsplits[0], tuple(new_split)),
          **out.params,
      )
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import recursive_tile
  from ...serialization.serializables import AnyField, BoolField, Int64Field
  from ...tensor.core import TENSOR_TYPE, TENSOR_CHUNK_TYPE
  from ..core import SERIES_TYPE, SERIES_CHUNK_TYPE
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import build_empty_df, parse_index
label_desc: Use image node_id 8 for calling the DataFrameInsert obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op