code: def __init__(
      self,
      id_vars=None,
      value_vars=None,
      var_name=None,
      value_name=None,
      col_level=None,
      **kw,
  ):
      super().__init__(
          _id_vars=id_vars,
          _value_vars=value_vars,
          _var_name=var_name,
          _value_name=value_name,
          _col_level=col_level,
          **kw,
      )
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import recursive_tile
  from ...serialization.serializables import AnyField, StringField
  from ...utils import calc_nsplits
  from ..operands import DataFrameOperand, DataFrameOperandMixin, OutputType
  from ..utils import build_empty_df, parse_index, standardize_range_index
label_desc: Use image node_id 1 to create a new DataFrameMelt object from inherited base classes: DataFrameOperand, DataFrameOperandMixin with example: obj = DataFrameMelt(id_vars, value_vars, var_name, value_name, col_level)