class_docstr: Represent data from pandas Index
code: def _tile_from_tensor(cls, op):
      inp = op.inputs[0]
      out = op.outputs[0]
      out_chunks = []
      for c in inp.chunks:
          chunk_op = op.copy().reset_key()
          index_value = parse_index(
              out.index_value.to_pandas(), c, store_data=op.store_data
          )
          out_chunk = chunk_op.new_chunk(
              [c],
              shape=c.shape,
              dtype=out.dtype,
              index=c.index,
              index_value=index_value,
              name=out.name,
          )
          out_chunks.append(out_chunk)
  
      new_op = op.copy()
      params = out.params
      params["chunks"] = out_chunks
      params["nsplits"] = inp.nsplits
      return new_op.new_tileables(op.inputs, kws=[params])
  
imports: import itertools
  import numpy
  import pandas
  from ...None import opcodes
  from ...config import options
  from ...core import OutputType
  from ...serialization.serializables import IndexField, DataTypeField, BoolField
  from ...tensor.utils import get_chunk_slices
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index, decide_series_chunk_size, is_cudf
label_desc: Use image node_id 5 for calling the IndexDataSource obj's underlying member method code with example usage: obj._tile_from_tensor(cls, op) and returns: new_op