Mean-Variance-Standard Deviation Calculator

Python
1

import numpy as np

def calculate(lst):

if len(lst) < 9:

    raise ValueError("List must contain nine numbers.")



m = np.array(lst).reshape(3, 3)



return {

    'mean':               \[m.mean(axis=0).tolist(), m.mean(axis=1).tolist(), m.mean().item()\],

    'variance':           \[m.var(axis=0).tolist(),  m.var(axis=1).tolist(),  m.var().item()\],

    'standard deviation': \[m.std(axis=0).tolist(),  m.std(axis=1).tolist(),  m.std().item()\],

    'max':                \[m.max(axis=0).tolist(),  m.max(axis=1).tolist(),  m.max().item()\],

    'min':                \[m.min(axis=0).tolist(),  m.min(axis=1).tolist(),  m.min().item()\],

    'sum':                \[m.sum(axis=0).tolist(),  m.sum(axis=1).tolist(),  m.sum().item()\],

}
2

Please post the url of the challenge you are on.