code: def scale_0_to_1(vec_ss):
      vec_ss = (
          (vec_ss - vec_ss.min()) * 1.0 / (vec_ss.max() - vec_ss.min())
      )
      return vec_ss
  
imports: from typing import Callable
  import numpy
  import pandas
  from scipy.stats import rankdata
label_desc: Use image node_id 28 for calling a global function with example usage: scale_0_to_1(vec_ss) and returns: vec_ss