Finding mean of a values in a dictionary without using .values() etc

Question

I have a dictionary that looks like:

G={'E': 18.0, 'D': 17.0, 'C': 19.0, 'B': 15.0, 'A': 0}

I have to find the mean of the values e.g. mean(18,17,19,15,0) using a simple for loop without using built in functions like .values(), .items() and so on. I tried the following but am getting an error:

d=[float(sum(values)) / len(values) for key, values in G]
    return (d)   
ValueError: need more than 1 value to unpack

Can someone help me fix this????

Answer 1

import numpy as np
np.mean(list(dict.values()))

Answer 2

If you use numpy:

import numpy as np

np.array(list(dict.values())).mean()