code: def execute(cls, ctx, op):
      in_data = ctx[op.inputs[0].key]
      out_chunk = op.outputs[0]
  
      if op.call_agg:
          result = in_data.agg(
              op.func, axis=op.axis, *op.args, **op.kwds
          )
      else:
          result = in_data.transform(
              op.func, axis=op.axis, *op.args, **op.kwds
          )
  
      if isinstance(out_chunk, DATAFRAME_CHUNK_TYPE):
          if out_chunk.dtypes is not None:
              result.columns = out_chunk.dtypes.index
      ctx[op.outputs[0].key] = result
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...config import options
  from ...core import OutputType, recursive_tile
  from ...core.custom_log import redirect_custom_log
  from ...serialization.serializables import AnyField, BoolField, TupleField, DictField
  from ...utils import enter_current_session, quiet_stdio, pd_release_version
  from ..core import DATAFRAME_CHUNK_TYPE, DATAFRAME_TYPE
  from ..operands import DataFrameOperandMixin, DataFrameOperand
  from ..utils import build_df, build_series, validate_axis, parse_index, filter_dtypes_by_index, make_dtypes
label_desc: Use image node_id 8 for calling the TransformOperand obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types