code: def _calc_series_index_params(cls, chunks):
      pd_indexes = [c.index_value.to_pandas() for c in chunks]
      pd_index = reduce(lambda x, y: x.append(y), pd_indexes)
      index_value = parse_index(pd_index)
      return {"dtype": chunks[0].dtype, "index_value": index_value}
  
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 17 for calling the DataFrameOperandMixin obj's underlying member method code with example usage: obj._calc_series_index_params(cls, chunks) and returns: dict