如何按常见项目对元组进行分组并找到每组的平均值

How to group tuples by common items and find average per each group(如何按常见项目对元组进行分组并找到每组的平均值)

问题描述

我有一个名为 data 的元组列表:

I have a list of tuples named data:

data = [('A', 2), 
        ('B', 2), ('B', 4), ('B', 6), ('B', 8), ('B', 6), ('B', 4), ('B', 3),
        ('C', 10), ('C', 10), ('C', 10),
        ('D', 12),
        ('E', 12),
        ('F', 10), ('F', 8), ('F', 6)]
average = []

我想要每个相同字母的平均值:

I would like an average of the values for each same letter:

预期输出:

average = [('A', 2), ('B', 5), ('C', 10), ('D', 12), ('E', 12), ('F', 8)]

推荐答案

试试 groupby

from itertools import groupby
data_ = [(n,[i[1] for i in g]) for n,g in groupby(data, key = lambda x:x[0])]   
result = [(i,float(sum(j))/float(len(j))) for i,j in data_]

结果

[('A', 2.0),
 ('B', 4.714285714285714),
 ('C', 10.0),
 ('D', 12.0),
 ('E', 12.0),
 ('F', 8.0)]

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