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Python:如何按多个值对字典列表进行排序?

[英]Python: How to sort a list of dictionaries by several values?

I want to sort a list at first by a value and then by a second value.我想首先按一个值对列表进行排序,然后再按第二个值排序。 Is there an easy way to do this?是否有捷径可寻? Here is a small example:这是一个小例子:

A = [{'name':'john','age':45},
     {'name':'andi','age':23},
     {'name':'john','age':22},
     {'name':'paul','age':35},
     {'name':'john','age':21}]

This command is for sorting this list by 'name' :此命令用于按'name'对该列表进行排序:

sorted(A, key = lambda user: user['name'])

But how I can sort this list by a second value?但是我如何按第二个值对这个列表进行排序? Like 'age' in this example.就像这个例子中的'age'

I want a sorting like this (first sort by 'name' and then sort by 'age' ):我想要这样的排序(首先按'name'排序,然后按'age'排序):

andi - 23
john - 21
john - 22
john - 45
paul - 35

Thanks!谢谢!

>>> A = [{'name':'john','age':45},
     {'name':'andi','age':23},
     {'name':'john','age':22},
     {'name':'paul','age':35},
     {'name':'john','age':21}]
>>> sorted(A, key = lambda user: (user['name'], user['age']))
[{'age': 23, 'name': 'andi'}, {'age': 21, 'name': 'john'}, {'age': 22, 'name': 'john'}, {'age': 45, 'name': 'john'}, {'age': 35, 'name': 'paul'}]

This sorts by a tuple of the two attributes, the following is equivalent and much faster/cleaner:这按两个属性的元组排序,以下等效且更快/更清晰:

>>> from operator import itemgetter
>>> sorted(A, key=itemgetter('name', 'age'))
[{'age': 23, 'name': 'andi'}, {'age': 21, 'name': 'john'}, {'age': 22, 'name': 'john'}, {'age': 45, 'name': 'john'}, {'age': 35, 'name': 'paul'}]

From the comments: @Bakuriu来自评论:@Bakuriu

I bet there is not a big difference between the two, but itemgetter avoids a bit of overhead because it extracts the keys and make the tuple during a single opcode( CALL_FUNCTION ), while calling the lambda will have to call the function, load the various constants(which are other bytecodes) finally call the subscript ( BINARY_SUBSCR ), build the tuple and return it... that's a lot more work for the interpreter.我敢打赌两者之间没有太大区别,但是itemgetter避免了一点开销,因为它在单个操作码( CALL_FUNCTION )期间提取键并生成tuple ,而调用lambda将不得不调用该函数,加载各种常量(其他字节码)最终调用下标( BINARY_SUBSCR ),构建tuple并返回它......这对解释器来说还有很多工作。

To summarize: itemgetter keeps the execution fully on the C level, so it's as fast as possible.总结一下: itemgetter将执行完全保持在C级别,因此它尽可能快。

from operator import itemgetter

sorted(your_list, key=itemgetter('name', 'age'))

Here is the alternative general solution - it sorts elements of dict by keys and values.这是替代的通用解决方案 - 它按键和值对 dict 的元素进行排序。 The advantage of it - no need to specify keys, and it would still work if some keys are missing in some of dictionaries.它的优点 - 无需指定键,如果某些字典中缺少某些键,它仍然可以工作。

def sort_key_func(item):
    """ helper function used to sort list of dicts

    :param item: dict
    :return: sorted list of tuples (k, v)
    """
    pairs = []
    for k, v in item.items():
        pairs.append((k, v))
    return sorted(pairs)

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