code: def reindex_iloc(df, inds, copy=True):
      """Reindex pandas.DataFrame with iloc indices, potentially out of bound.
  
      Parameters
      ----------
      df: a pandas.DataFrame
      inds: iterable, list or pd.Series - iloc indices to reindex to
      copy: bool, optional, default=True - whether returned data frame is a new object
          if not, values are references; passed to copy arg of df.reindex
  
      Returns
      -------
      df_ret : pd.DataFrame - df reindexed to inds
          identical to df.iloc[inds] if inds contains no out of bound index
          out of bound indices will result in np.nan values
          entries are references to original DataFrame if copy=False
  
      Example
      -------
      >>> X = pd.DataFrame({'a' : [1,2,3,4]}, index=[-4,7,11,14])
      >>> reindex_iloc(X, [1, 2, 6])
           a
      1  2.0
      2  3.0
      6  NaN
      """
      df_ret = df.reset_index(drop=True).reindex(inds, copy=copy)
  
      return df_ret
  
label_desc: Use image node_id 1 for calling a global function with example usage: reindex_iloc(df, inds, copy) and returns: df_ret