如何对包含相同参数的列表列表中的值进行平均。

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英文:

How to average values in list of lists that contain same parameter

问题

我想要对包含相同第一个值的所有列表中的第二个值进行平均,并将这些平均列表转换为一个新的列表。

例如,我想要将这个列表转换成这样:

[['foo', 平均(13+15)],
['bar', 平均(14+16+5)]]

有没有简单的方法来做到这一点?

英文:

I want to average the 2nd values in all lists that contain the same 1st value, and convert these averaged lists into a new list of lists.

For example i want to convert this:

[['foo', 13], 
['foo', 15], 
['bar', 14], 
['bar', 16],
['bar', 5]]

to this:

[['foo', avg(13+15)], 
['bar', avg(14+16+5)]] 

Any ideas of a simple way to do this?

答案1

得分: 1

from itertools import groupby
from statistics import mean  # 3 or greater

# if using 2.7
def mean(x): return sum(x)/len(x)

a = [['foo', 13],
     ['foo', 15],
     ['bar', 14],
     ['bar', 16],
     ['bar', 5]]

[[key, mean(map(lambda x: x[1], list(group)))] for key, group in groupby(a, lambda x: x[0])]

# [['foo', 14], ['bar', 11]]
英文:
from itertools import groupby
from statistics import mean # 3 or greater

# if using 2.7
def mean(x): return sum(x)/len(x)

a = [['foo', 13], 
['foo', 15], 
['bar', 14], 
['bar', 16],
['bar', 5]]

[[key, mean(map(lambda x: x[1], list(group)))] for key, group in groupby(a, lambda x:x[0])]

# [['foo', 14], ['bar', 11]]

Groups the list on the first element then computes the mean. Assumes you have a mean function.

答案2

得分: 0

这应该可以工作。您可以很容易地使用字典来解决这个问题。虽然可能有更好的方法,但这是其中一种方法。

l = [['foo', 13], ['foo', 15], ['bar', 14], ['bar', 16], ['bar', 5]]
dictionary = {}

for i in range(0, len(l)):
    if l[i][0] in dictionary:
        dictionary[l[i][0]].append(l[i][1])
    else:
        dictionary[l[i][0]] = [l[i][1]]

# 上面的字典基本上将所有属于一个键的元素存储在一个列表中,可以通过引用键来获取它。
l = []
for keys in dictionary:
    l.append([keys, sum(dictionary[keys]) / len(dictionary[keys])])  # 如果您想要作为输出的二维列表
    dictionary[keys] = sum(dictionary[keys]) / len(dictionary[keys])

print(dictionary)  # 打印 { 'foo': 14.0, 'bar': 11.666.. }
print(l)  # 打印 [['foo', 14.0], ['bar', 11.666666666666666]],顺序不保持。
英文:

This should work. You could have easily used dictionary for this problem. Though there might be better approaches, this is one of the approach.

l=[['foo', 13], ['foo', 15], ['bar', 14], ['bar', 16], ['bar', 5]]
dictionary={}
for i in range(0,len(l)):
    if l[i][0] in dict:
        dictionary[l[i][0]].append(l[i][1])
    else:
        dictionary[l[i][0]]=[l[i][1]]
# The above dictionary basically stores all the elements belonging to a key in a list which we can get by referring the key.
l=[]
for keys in dict:
    l.append([keys,sum(dictionary[keys])/len(dictionary[keys])]) #If you want 2d list as the output
    dictionary[keys]=sum(dictionary[keys])/len(dictionary[keys])

print(dictionary) # Prints {'foo': 14.0, 'bar': 11.666..}
print(l) # Prints [['foo', 14.0], ['bar', 11.666666666666666]] and order isn't maintained.

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  • 本文由 发表于 2020年1月7日 00:10:47
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