code: def spearmanr(x, y):
      
      from scipy import stats
  
      if not x or not y:
          return 0
      corr, pvalue = stats.spearmanr(x, y)
      return corr
docs: Michiel de Hoon's library (available in BioPython or standalone as
      PyCluster) returns Spearman rsb which does include a tie correction.
  
      >>> x = [5.05, 6.75, 3.21, 2.66]
      >>> y = [1.65, 26.5, -5.93, 7.96]
      >>> z = [1.65, 2.64, 2.64, 6.95]
      >>> round(spearmanr(x, y), 4)
      0.4
      >>> round(spearmanr(x, z), 4)
      -0.6325