code: def _call_dataframe(
      self, df, dtypes=None, dtype=None, name=None, index=None
  ):
      # for backward compatibility
      dtype = dtype if dtype is not None else dtypes
      dtypes, index_value = self._infer_df_func_returns(
          df, dtypes, dtype=dtype, name=name, index=index
      )
      if index_value is None:
          index_value = parse_index(None, (df.key, df.index_value.key))
      for arg, desc in zip(
          (self.output_types, dtypes), ("output_types", "dtypes")
      ):
          if arg is None:
              raise TypeError(
                  f"Cannot determine {desc} by calculating with enumerate data, "
                  "please specify it as arguments"
              )
  
      if index_value == "inherit":
          index_value = df.index_value
  
      if self._elementwise:
          shape = df.shape
      elif self.output_types[0] == OutputType.dataframe:
          shape = [np.nan, np.nan]
          shape[1 - self.axis] = df.shape[1 - self.axis]
          shape = tuple(shape)
      else:
          shape = (df.shape[1 - self.axis],)
  
      if self.output_types[0] == OutputType.dataframe:
          if self.axis == 0:
              return self.new_dataframe(
                  [df],
                  shape=shape,
                  dtypes=dtypes,
                  index_value=index_value,
                  columns_value=parse_index(
                      dtypes.index, store_data=True
                  ),
              )
          else:
              return self.new_dataframe(
                  [df],
                  shape=shape,
                  dtypes=dtypes,
                  index_value=df.index_value,
                  columns_value=parse_index(
                      dtypes.index, store_data=True
                  ),
              )
      else:
          name, dtype = dtypes
          return self.new_series(
              [df],
              shape=shape,
              name=name,
              dtype=dtype,
              index_value=index_value,
          )
  
imports: import inspect
  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 ...core.operand import OperatorLogicKeyGeneratorMixin
  from ...serialization.serializables import StringField, AnyField, BoolField, TupleField, DictField, FunctionField
  from ...utils import enter_current_session, quiet_stdio, get_func_token, tokenize
  from ..arrays import ArrowArray
  from ..operands import DataFrameOperandMixin, DataFrameOperand
  from ..utils import build_df, build_series, parse_index, validate_axis, validate_output_types, make_dtypes, make_dtype, build_empty_df, build_empty_series, clean_up_func, restore_func
label_desc: Use image node_id 24 for calling the ApplyOperand obj's underlying member method code with example usage: obj._call_dataframe(df, dtypes, dtype, name, index) and returns: self, self, self