code: def __call__(self, df, dtypes=None, index=None, skip_infer=None):
      axis = getattr(self, "axis", None) or 0
      self._axis = validate_axis(axis, df)
  
      if not skip_infer:
          dtypes = self._infer_df_func_returns(df, dtypes)
  
      if self.output_types[0] == OutputType.dataframe:
          new_shape = list(df.shape)
          new_index_value = df.index_value
          if len(new_shape) == 1:
              new_shape.append(
                  len(dtypes) if dtypes is not None else np.nan
              )
          else:
              new_shape[1] = (
                  len(dtypes) if dtypes is not None else np.nan
              )
  
          if self.call_agg:
              new_shape[self.axis] = np.nan
              new_index_value = parse_index(
                  None, (df.key, df.index_value.key)
              )
          if dtypes is None:
              columns_value = None
          else:
              columns_value = parse_index(dtypes.index, store_data=True)
          return self.new_dataframe(
              [df],
              shape=tuple(new_shape),
              dtypes=dtypes,
              index_value=new_index_value,
              columns_value=columns_value,
          )
      else:
          if dtypes is not None:
              name, dtype = dtypes
          else:
              name, dtype = None, None
  
          if isinstance(df, DATAFRAME_TYPE):
              new_shape = (df.shape[1 - axis],)
              new_index_value = [df.columns_value, df.index_value][axis]
          else:
              new_shape = (np.nan,) if self.call_agg else df.shape
              new_index_value = df.index_value
  
          return self.new_series(
              [df],
              shape=new_shape,
              name=name,
              dtype=dtype,
              index_value=new_index_value,
          )
  
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 11 for calling the TransformOperand obj's underlying member method code with example usage: obj.__call__(df, dtypes, index, skip_infer) and returns: self, self