code: def execute(cls, ctx, op: "DataFrameMapChunk"):
      restore_func(ctx, op)
      inp = ctx[op.input.key]
      out = op.outputs[0]
      if len(inp) == 0:
          if op.output_types[0] == OutputType.dataframe:
              ctx[out.key] = build_empty_df(out.dtypes)
          elif op.output_types[0] == OutputType.series:
              ctx[out.key] = build_empty_series(
                  out.dtype, name=out.name
              )
          else:
              raise ValueError(
                  f"Chunk can not be empty except for dataframe/series."
              )
          return
  
      kwargs = op.kwargs or dict()
      if op.with_chunk_index:
          kwargs["chunk_index"] = out.index
      args = op.args or tuple()
      chunks = find_objects(args, CHUNK_TYPE) + find_objects(
          kwargs, CHUNK_TYPE
      )
      mapping = {chunk: ctx[chunk.key] for chunk in chunks}
      args = replace_objects(args, mapping)
      kwargs = replace_objects(kwargs, mapping)
      ctx[out.key] = op.func(inp, *args, **kwargs)
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import recursive_tile, get_output_types, ENTITY_TYPE, CHUNK_TYPE
  from ...core.custom_log import redirect_custom_log
  from ...serialization.serializables import KeyField, FunctionField, TupleField, DictField, BoolField, StringField, AnyField
  from ...utils import enter_current_session, has_unknown_shape, quiet_stdio, find_objects, replace_objects
  from ..operands import DataFrameOperand, DataFrameOperandMixin, OutputType
  from ..utils import build_df, build_empty_df, build_series, parse_index, validate_output_types, build_empty_series, clean_up_func, restore_func
label_desc: Use image node_id 18 for calling the DataFrameMapChunk obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types