code: def _tile_series(cls, op):
      series = Series(op.input)
      out = op.outputs[0]
      index = out.index_value.to_pandas()
      # ['count', 'mean', 'std', 'min', {percentiles}, 'max']
      names = index.tolist()
  
      values = [None] * 6
      for i, agg in enumerate(names[:4]):
          values[i] = mt.atleast_1d(getattr(series, agg)())
      values[-1] = mt.atleast_1d(getattr(series, names[-1])())
      values[4] = series.quantile(op.percentiles).to_tensor()
  
      t = mt.concatenate(values).rechunk(len(names))
      ret = Series(t, index=index, name=series.name)
      ret = yield from recursive_tile(ret)
      return [ret]
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...None import tensor
  from ...core import recursive_tile
  from ...core.operand import OperandStage
  from ...serialization.serializables import FieldTypes, KeyField, ListField, AnyField
  from ...utils import lazy_import, has_unknown_shape
  from ..core import SERIES_TYPE
  from ..initializer import DataFrame, Series
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index, build_empty_df
label_desc: Use image node_id 10 for calling the DataFrameDescribe obj's underlying member method code with example usage: obj._tile_series(cls, op) and returns: list