mean_var_std.py

import numpy as np
def main():
    calculate([0,1,2,3,4,5,6,7,8])

def calculate(list):
    if len(list) != 9 :
        raise ValueError( "List must contain nine numbers." )
    data= np.array(list).reshape((3,3))
    calculations = {
  'mean': [(np.mean(data , axis =0)).tolist(), (np.mean(data , axis =1)).tolist(), np.mean(data).tolist()],
  'variance':  [(np.var(data , axis =0)).tolist(), (np.var(data , axis =1)).tolist(), np.var(data).tolist()],
  'standard deviation':  [(np.std(data , axis =0)).tolist(), (np.std(data , axis =1)).tolist(), np.std(data).tolist()],
  'max': [(np.max(data , axis =0)).tolist(), (np.max(data , axis =1)).tolist(), np.max(data).tolist()],
  'min':  [(np.min(data , axis =0)).tolist(), (np.min(data , axis =1)).tolist(), np.min(data).tolist()],
  'sum': [(np.sum(data , axis =0)).tolist(), (np.sum(data , axis =1)).tolist(), np.sum(data).tolist()] }


    return calculations

if '__ name __' == '__ main __' :
    main()