docstr: reindex data and fill the missing value with np.NaN.
  
  Parameters
  ----------
  new_index : list
      new index
  fill_value:
      what value to fill if index is missing
  
  Returns
  -------
  SingleData
      reindex data
docstr_tok: ["reindex","data","and","fill","the","missing","value","with","np.NaN",".","Parameters","--","--","--","--","--","new_index",":","list","new","index","fill_value",":","what","value","to","fill","if","index","is","missing","Returns","--","--","--","-","SingleData","reindex","data"]
code: def reindex(self, index: Index, fill_value=np.NaN) -> SingleData:
      """reindex data and fill the missing value with np.NaN.
  
      Parameters
      ----------
      new_index : list
          new index
      fill_value:
          what value to fill if index is missing
  
      Returns
      -------
      SingleData
          reindex data
      """
      # TODO: This method can be more general
      if self.index == index:
          return self
      tmp_data = np.full(len(index), fill_value, dtype=np.float64)
      for index_id, index_item in enumerate(index):
          try:
              tmp_data[index_id] = self.loc[index_item]
          except KeyError:
              pass
      return SingleData(tmp_data, index)
  
imports: from __future__ import annotations
  from typing import Dict, Tuple, Union, Callable, List
  import bisect
  import numpy
  import pandas
label_desc: Use image node_id 3 for calling the SingleData obj's underlying member method code with example usage: obj.reindex(index, fill_value) and returns: SingleData, self