Python:按日期排序嵌套的dict

时间:2014-11-03 03:10:50

标签: python sorting dictionary

我有一个大字典,但在概念上与此类似:

data = {'business1': {'1/2':20, '1/4':10, '1/3':30}, 'business2': {'1/2':10, '1/4':20, '1/3':30}}

我想按日期对嵌套的dicts进行排序。我知道如果不涉及嵌套,如何执行此操作,如下所示。我创建了一个列表,然后将键值对附加到列表中,然后排序。

data = {'1/2':20, '1/4':10, '1/3':30}

sorted_data = []
for key,value in data.iteritems():
    temp = (key,value)
    sorted_data.append(temp)
sorted_data.sort(key = lambda item: item[0], reverse=False)
print sorted_data

问题是当涉及dicts中的dicts时如何执行此操作,例如我最初提到的内容:

data = {'business1': {'1/2':20, '1/4':10, '1/3':30}, 'business2': {'1/2':10, '1/4':20, '1/3':30}}

3 个答案:

答案 0 :(得分:1)

from collections import OrderedDict

for k,v in data.items():
    data[k] = OrderedDict(sorted(v.items()))

print data

用户输入:

 data = {'business1': {'1/2':20, '1/4':10, '1/3':30}, 'business2': {'1/2':10, '1/4':20, '1/3':30}}

输出:

 {'business2': OrderedDict([('1/2', 10), ('1/3', 30), ('1/4', 20)]), 'business1': OrderedDict([('1/2', 20), ('1/3', 30), ('1/4', 10)])}

答案 1 :(得分:0)

你还没有说出你想要的结果,但我认为你希望它们看起来像这样:

result = {'business1': [('1/2',20), ('1/3',30), ('1/4',10)],
          'business2': [('1/2',10), ('1/3',30), ('1/4',20)]}

我将如何做到这一点:

result = {}
for business_name, business_data in data.iteritems():
    # The following is basically your single-data loop
    sorted_data = []
    for key,value in business_data.iteritems():
        temp = (key,value)
        sorted_data.append(temp)
    sorted_data.sort(key = lambda item: item[0], reverse=False)
    result[business_name] = sorted_data

现在,您可以保存一个步骤。 for key,value in business_data.iteritems():循环基本上重复dict.items()所做的事情。所以你可以用sorted_data = list(business_data.items())替换四行。 (在Python 2中不需要list()调用但不会伤害任何东西,并且它在Python 3中是必需的。因为你没有说你正在使用哪个版本,所以我把它留下来以便我的答案可行在Python 2或Python 3)上。

所以我建议的最终版本是:

result = {}
for business_name, business_data in data.iteritems():
    sorted_data = list(business_data.items())
    sorted_data.sort(key = lambda item: item[0], reverse=False)
    result[business_name] = sorted_data

希望这有帮助。

答案 2 :(得分:0)

>>> data = {'business1': {'1/2':20, '1/4':10, '1/3':30}, 'business2': {'1/2':10, '1/4':20, '1/3':30}}
>>> {i:sorted(data[i].items(), key=lambda x: x[0]) for i in data}
{'business2': [('1/2', 10), ('1/3', 30), ('1/4', 20)], 'business1': [('1/2', 20), ('1/3', 30), ('1/4', 10)]}