class_docstr: Represent data from pandas Index
code: def _tile_from_dataframe(cls, op):
      inp = op.inputs[0]
      out = op.outputs[0]
  
      out_chunks = []
      if inp.ndim == 1:
          # series, index
          for c in inp.chunks:
              chunk_op = op.copy().reset_key()
              out_chunk = chunk_op.new_chunk(
                  [c],
                  shape=c.shape,
                  dtype=out.dtype,
                  index=c.index,
                  index_value=c.index_value,
                  name=out.name,
              )
              out_chunks.append(out_chunk)
          nsplits = inp.nsplits
      else:
          # DataFrame
          nsplit = inp.nsplits[1]
          axis_1_index = np.argmin(nsplit).item()
          for i in range(inp.chunk_shape[0]):
              chunk_index = (i, axis_1_index)
              c = inp.cix[chunk_index]
              chunk_op = op.copy().reset_key()
              out_chunk = chunk_op.new_chunk(
                  [c],
                  shape=(c.shape[0],),
                  dtype=out.dtype,
                  index=(i,),
                  index_value=c.index_value,
                  name=out.name,
              )
              out_chunks.append(out_chunk)
          nsplits = (inp.nsplits[0],)
  
      new_op = op.copy()
      params = out.params
      params["chunks"] = out_chunks
      params["nsplits"] = 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 4 for calling the IndexDataSource obj's underlying member method code with example usage: obj._tile_from_dataframe(cls, op) and returns: new_op