class_docstr: Represents data from mars tensor
code: def __call__(
      self,
      input_tensor: Tensor,
      index: Union[TileableType, pd.Index],
      columns: pd.Index,
      dtypes: pd.Series,
  ):
      if isinstance(input_tensor, dict):
          return self._call_input_1d_tileables(
              input_tensor, index, columns, dtypes
          )
      elif input_tensor is not None:
          return self._call_input_tensor(
              input_tensor, index, columns, dtypes
          )
      else:
          return self._call_tensor_none(index, columns, dtypes)
  
imports: from collections import OrderedDict
  from typing import Any, Dict, List, Union
  import numpy
  import pandas
  from ...None import opcodes
  from ...core import ENTITY_TYPE, OutputType, recursive_tile
  from ...core.context import Context
  from ...serialization.serializables import KeyField, AnyField
  from ...tensor.core import Tensor
  from ...tensor.datasource import tensor
  from ...tensor.utils import unify_chunks
  from ...typing import EntityType, TileableType
  from ...utils import has_unknown_shape
  from ..core import INDEX_TYPE, SERIES_TYPE
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index
label_desc: Use image node_id 3 for calling the DataFrameFromTensor obj's underlying member method code with example usage: obj.__call__(input_tensor, index, columns, dtypes) and returns: self, self, self