Python：计算列表列表中的元素对的频率 [英] Python: Counting frequency of pairs of elements in a list of lists

问题描述

其实，我有一个关于会议的数据集。
例如，A，B，C有一个会议，那么列表将是[A，B，C]。
像这样，每个列表将包含参加会议的成员的列表。
因此：

line1 =（A，B，C）

line2 = C，D，E）

line3 =（D，F，G）

...

我只想计算每对会员相遇的次数。
例如，成员A从line1和line2两次遇到C两次，并且成员B从line1一次遇到C次。所以，我想制作一个这样的图表。

  ABCDEF G ... 
 
一个  。 1 2 1 ... 
 
 B 1。 1 0 
 
 C 
  

...

我以为这很容易在第一次，但我很困惑。
请帮助我，提前多谢。

解决方案

=http://docs.python.org/library/collections.html#collections.counter =noreferrer> collections.counter itertools ：

  from collections import Counter 
来自itertools导入链，组合
 
 meets = Counter（chain.from_iterable ）
  

其中 lines 是可迭代的名称的迭代。

Actually, I have a dataset about a "meeting". For example, A,B,C have a meeting, then the list would be [A,B,C]. Like this, each list would contain a list of members who participated in the meeting. Therefore:

line1= (A,B,C)

line2= (A,C,D,E)

line3 = (D,F,G)

...

I just would like to count the number how many times each pair of members meet each other. For example, member A meets C two times from line1 and line2 and member B meets C one time from line1. So, I would like to make a chart like this..

    A  B  C  D E F G...

 A  .  1  2  1 ...  

 B  1  . 1  0 

 C

...

I thought it would be easy at the first but I am pretty confused. Please help me and thank you so much in advance.

解决方案

Rather than manually summing frequencies, use collections.counter along with itertools:

from collections import Counter
from itertools import chain, combinations

meets = Counter(chain.from_iterable(combinations(line, 2) for line in lines))

Where lines is an iterable of iterables of names.

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