code: def new_index(
      self,
      inputs,
      shape=None,
      dtype=None,
      index_value=None,
      name=None,
      **kw,
  ):
      if getattr(self, "output_limit") != 1:
          raise TypeError("cannot new Index with more than 1 outputs")
  
      return self.new_indexes(
          inputs,
          shape=shape,
          dtype=dtype,
          index_value=index_value,
          name=name,
          **kw,
      )[0]
  
imports: from collections import OrderedDict
  from functools import reduce
  import numpy
  import pandas
  from ..core import FuseChunkData, FuseChunk, ENTITY_TYPE, OutputType
  from ..core.operand import Operand, TileableOperandMixin, Fuse, ShuffleProxy, FuseChunkMixin
  from ..tensor.core import TENSOR_TYPE
  from ..tensor.datasource import tensor
  from ..tensor.operands import TensorOperandMixin
  from ..utils import calc_nsplits
  from .core import DATAFRAME_CHUNK_TYPE, SERIES_CHUNK_TYPE, INDEX_CHUNK_TYPE, DATAFRAME_TYPE, SERIES_TYPE, INDEX_TYPE, DATAFRAME_GROUPBY_TYPE, SERIES_GROUPBY_TYPE, CATEGORICAL_TYPE
  from .utils import parse_index
label_desc: Use image node_id 7 for calling the DataFrameOperandMixin obj's underlying member method code with example usage: obj.new_index(inputs, shape, dtype, index_value, name) and returns: self