code: def anova(_arg1, _arg2, *_argN):
      """
      ANOVA is a statistical hypothesis test that is used to compare
      two or more group means for equality.For more information on
      the function and how to use it please refer to tabpy-tools.md
      """
  
      cols = [_arg1, _arg2] + list(_argN)
      for col in cols:
          if not isinstance(col[0], (int, float)):
              print("values must be numeric")
              raise ValueError
      _, p_value = stats.f_oneway(_arg1, _arg2, *_argN)
      return p_value
  
label_desc: Use image node_id 1 for calling a global function with example usage: anova(_arg1, _arg2) and returns: p_value