mean python

1import statistics
2
3a = [1,2,3,4,5]
4
5mean = statistics.mean(a) 
6#Similar for other values such as variance, standard deviation

1import numpy as np
2values=[1,10,100]
3print(np.mean(values))
4values=[1,10,100,np.nan]
5print(np.nanmean(values))

1def calculate_mean(n):
2    s = sum(n)
3    N = len(n)
4    
5    mean = s / N
6    
7    return mean

1>>> import statistics
2
3>>> statistics.mean([4, 8, 6, 5, 3, 2, 8, 9, 2, 5])
45.2
5

1>>> def my_mean(sample):
2...     return sum(sample) / len(sample)
3...
4
5>>> my_mean([4, 8, 6, 5, 3, 2, 8, 9, 2, 5])
65.2
7

1def cal_average(num):
2    sum_num = 0
3    for t in num:
4        sum_num = sum_num + t           
5
6    avg = sum_num / len(num)
7    return avg
8
9print("The average is", cal_average([18,25,3,41,5]))
10