code: def _reindex(cls, ctx, op, fill=True, try_sparse=None):
      inp = cls._convert_to_writable(ctx[op.input.key])
      index = cls._get_value(ctx, op.index)
      if op.index_freq is not None:
          index = pd.Index(index, freq=op.index_freq)
      columns = cls._get_value(ctx, op.columns)
      kw = {"level": op.level}
      if index is not None and not isinstance(index, slice):
          kw["index"] = cls._convert_to_writable(index)
      if columns is not None and not isinstance(columns, slice):
          kw["columns"] = cls._convert_to_writable(columns)
      if fill:
          kw["method"] = op.method
          kw["fill_value"] = cls._get_value(ctx, op.fill_value)
          kw["limit"] = op.limit
  
      if (
          try_sparse
          and not fill
          and op.level is None
          and isinstance(inp, (pd.DataFrame, pd.Series))
          and sps is not None
      ):
          # 1. sparse is used in map only
          # 2. for MultiIndex, sparse is not needed as well
          # 3. only consider cpu
          # 4. scipy is installed
  
          if op.enable_sparse is None:
              # try to use sparse if estimated size > 2 * input_size
              cur_size = inp.memory_usage(deep=True)
              if inp.ndim == 2:
                  cur_size = cur_size.sum()
              element_size = cur_size / inp.size
              shape = list(inp.shape)
              if "index" in kw:
                  shape[0] = len(kw["index"])
              if "columns" in kw:
                  shape[1] = len(kw["columns"])
              estimate_size = np.prod(shape) * element_size
  
              fitted = estimate_size > cur_size * 2
          else:
              # specified when op.enable_sparse == True
              fitted = True
  
          if fitted:
              # use sparse instead
              return cls._sparse_reindex(
                  inp, index=kw.get("index"), columns=kw.get("columns")
              )
  
      return inp.reindex(**kw)
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import ENTITY_TYPE, recursive_tile
  from ...core.operand import OperandStage
  from ...serialization.serializables import KeyField, AnyField, StringField, Int64Field, BoolField
  from ...tensor import tensor
  from ...utils import lazy_import, pd_release_version
  from ..core import Index, INDEX_TYPE
  from ..initializer import Index
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import validate_axis_style_args, parse_index
  from .index_lib import DataFrameReindexHandler
label_desc: Use image node_id 22 for calling the DataFrameReindex obj's underlying member method code with example usage: obj._reindex(cls, ctx, op, fill, try_sparse) and returns: inp, cls