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从计算元组项出现次数的元组创建嵌套字典

[英]Creating a nested dictionary from tuples that counts the number of occurrences of a tuple item

I have to sort through a list of tuples and create a dictionary with the first item in the tuple as a key and nested dictionaries which would have the key as the second item and the number of occurrences as the value.我必须对元组列表进行排序并创建一个字典,其中元组中的第一项作为键,嵌套字典将键作为第二项,出现次数作为值。 I'm not sure how to approach this problem and any help would be fantastic.我不确定如何解决这个问题,任何帮助都会很棒。

[('academic', 'hacked'), ('academic', 'lost device'), ('academic', 'lost device'), ('academic', 'lost device'), ('energy', 'inside job'), ('financial', 'hacked')]

Desired output:所需的 output:

{'academic': {'lost device': 3, 'hacked': 1}, 'energy': {'inside job': 1}, 'financial': {'hacked': 1}}

It's not the pythonic way to do it, but at least it's working这不是pythonic的方式,但至少它正在工作

mylist = [('academic', 'hacked'), ('academic', 'lost device'), ('academic', 'lost device'), ('academic', 'lost device'), ('energy', 'inside job'), ('financial', 'hacked')]        

dict = {}
for el in mylist:
  if not el[0] in dict.keys():
    dict[el[0]] = {}
  if not el[1] in dict[el[0]].keys():
    dict[el[0]][el[1]] = 1
  else:
    dict[el[0]][el[1]] += 1        
print (dict)

As a result I get:结果我得到:

{'academic': {'hacked': 1, 'lost device': 3}, 'energy': {'inside job': 1}, 'financial': {'hacked': 1}}

Use setdefault - it is nice:使用setdefault - 这很好:

x={}
for a,b in mylist:
   c=x.setdefault(a,{})
   c[b]=c.setdefault(b,0)+1
print(x)

You can do this in a single line using Collections.Counter as follows.您可以使用Collections.Counter在一行中执行此操作,如下所示。 Here, vals is the list of tuples.这里, vals是元组列表。

from collections import Counter
dict((k[0],{k[1]:v})for k, v in Counter(vals).items())

Solution解决方案

from collections import Counter
vals = [('academic', 'hacked'), ('academic', 'lost device'), ('academic', 'lost device'), 
        ('academic', 'lost device'), ('energy', 'inside job'), ('financial', 'hacked')]

output = dict((k[0],{k[1]:v})for k, v in Counter(vals).items())
print(output)

Result :结果

{'academic': {'hacked': 1, 'lost device': 3}, 'energy': {'inside job': 1}, 'financial': {'hacked': 1}}

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