docstr: Return output object of memory_usage() call
docstr_tok: ["Return","output","object","of","memory_usage","(",")","call"]
code: def __call__(self, df_or_series):
      """
      Return output object of memory_usage() call
      """
      if df_or_series.ndim == 1:
          # the input data is a series, a Scalar will be returned
          return self.new_scalar(
              [df_or_series], dtype=np.dtype(np.int_)
          )
      else:
          # the input data is a DataFrame, a Scalar will be returned
          # calculate shape of returning series given ``op.index``
          new_shape = (
              (df_or_series.shape[-1] + 1,)
              if self.index
              else (df_or_series.shape[-1],)
          )
          return self.new_series(
              [df_or_series],
              index_value=self._adapt_index(df_or_series.columns_value),
              shape=new_shape,
              dtype=np.dtype(np.int_),
          )
  
imports: import operator
  from functools import reduce
  import numpy
  import pandas
  from ...None import opcodes
  from ...config import options
  from ...core.operand import OperandStage
  from ...serialization.serializables import BoolField, Int64Field
  from ...utils import ceildiv, lazy_import
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..core import IndexValue
  from ..utils import parse_index
label_desc: Use image node_id 9 for calling the DataFrameMemoryUsage obj's underlying member method code with example usage: obj.__call__(df_or_series) and returns: self, self