我正在嵌套2级默认值。内部字典包含许多字段,我想按其中一个值对其进行排序,并删除与最低值对应的条目。
这是一个简化的代码示例:
from collections import defaultdict
sampleDict = defaultdict(lambda: defaultdict(lambda:defaultdict(lambda:str)))
sampleDict['keyA']['keyB']['size'] = 1000
sampleDict['keyA']['keyC']['size'] = 500
sampleDict['keyA']['keyD']['size'] = 750
sampleDict['keyA']['keyE']['size'] = 250
sampleDict['keyA']['keyB']['desc'] = 'some data'
sampleDict['keyA']['keyC']['desc'] = 'some more data'
sampleDict['keyA']['keyD']['desc'] = 'different data'
sampleDict['keyA']['keyE']['desc'] = 'other data'
在这种情况下,我想排序并确定最高size
为['keyA']['keyB']
,第二高['keyA']['keyD']
,然后删除['keyA']['keyC']
和{{1 }}
它嵌套的原因是因为我将循环遍历外部字典中的其他条目。
答案 0 :(得分:2)
>>> import heapq
>>> [(k, heapq.nlargest(2, sampleDict[k], lambda x: sampleDict[k][x]['size']))
... for k in sampleDict]
[('keyA', ['keyB', 'keyD'])]
如果你不关心Python2 / 3的dict.items之间的区别,你也可以把它写成
>>> [(k, heapq.nlargest(2, v, lambda x: v[x]['size'])) for k,v in sampleDict.items()]
[('keyA', ['keyB', 'keyD'])]
答案 1 :(得分:1)
试试这个:
>>> import operator
>>> sorted(
... reduce(operator.add,
... [[(k, k1, sampleDict[k][k1]['size']) for k1 in v.keys()]
... for k,v in sampleDict.items()]
... ),
... key=lambda x: x[2], reverse=True)
[('keyA', 'keyB', 1000), ('keyA', 'keyD', 750), ('keyA', 'keyC', 500), ('keyA', 'keyE', 250)]
reduce语句用于将嵌套列表[[a],[b,c],[d]]
转换为[a,b,c]
。
sorted语句的关键参数指定对(k,k1,val)
的第二个参数进行排序,即val。
反向参数按降序排列列表。