class_docstr: Represents data from mars tensor
code: def execute(
      cls, ctx: Union[dict, Context], op: "DataFrameFromTensor"
  ):
      chunk = op.outputs[0]
  
      if isinstance(op.input, dict):
          d = OrderedDict()
          for k, v in op.input.items():
              if hasattr(v, "key"):
                  d[k] = ctx[v.key]
              else:
                  d[k] = v
          if op.index is not None and hasattr(op.index, "key"):
              index_data = ctx[op.index.key]
          else:
              index_data = op.index
          ctx[chunk.key] = pd.DataFrame(
              d, index=index_data, columns=op.columns
          )
      elif op.input is not None:
          tensor_data = ctx[op.inputs[0].key]
          if isinstance(tensor_data, pd.Series):
              ctx[chunk.key] = tensor_data.to_frame(
                  name=chunk.dtypes.index[0]
              )
          else:
              if op.index is not None and hasattr(op.index, "key"):
                  # index is a tensor
                  index_data = ctx[op.inputs[1].key]
              else:
                  index_data = op.index
                  if (
                      isinstance(index_data, pd.RangeIndex)
                      and len(index_data) == 0
                  ):
                      index_data = None
              ctx[chunk.key] = pd.DataFrame(
                  tensor_data,
                  index=index_data,
                  columns=op.columns,
              )
      else:
          index_data = ctx[op.index.key]
          ctx[chunk.key] = pd.DataFrame(
              index=index_data, columns=op.columns
          )
  
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 12 for calling the DataFrameFromTensor obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types