code: def execute(cls, ctx, op):
      in_data = ctx[op.inputs[0].key]
      if len(op.inputs) == 1:
          if in_data.ndim == 2:
              try:
                  ctx[op.outputs[0].key] = in_data.diff(
                      periods=op.periods, axis=op.axis
                  )
              except ValueError:
                  ctx[op.outputs[0].key] = in_data.copy().diff(
                      periods=op.periods, axis=op.axis
                  )
          else:
              ctx[op.outputs[0].key] = in_data.diff(periods=op.periods)
      else:
          in_shift = ctx[op.inputs[1].key]
          result = in_data - in_shift
          if op.bool_columns:
              if in_data.ndim == 2:
                  result.replace(
                      {
                          c: {1: True, -1: True, 0: False}
                          for c in op.bool_columns
                      },
                      inplace=True,
                  )
              else:
                  result.replace(
                      {1: True, -1: True, 0: False}, inplace=True
                  )
          ctx[op.outputs[0].key] = result
  
imports: import itertools
  import numpy
  from ...None import opcodes
  from ...core import recursive_tile
  from ...serialization.serializables import AnyField, Int8Field, Int64Field
  from ..core import DATAFRAME_TYPE, OutputType
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import build_empty_df, build_empty_series, validate_axis
  from .shift import DataFrameShift
label_desc: Use image node_id 7 for calling the DataFrameDiff obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types