我有以下列表,其中可以包含多个不同大小的词典。
每个字典中的键都是唯一的,但不同的字典中可能存在一个键。
各个字典的值都是唯一的。
我想减少我的词典,以便它们包含所有词典中值最高的键和值。
例如,键'1258'
存在于四个词典中的三个词典中,并且它仅在最后一个词典中具有最高值,因此在重构列表中,此键及其值将在最后一个词典中只要。
如果该密钥在其他字典中不存在,则它将保留在其所属的字典中。
这是样本数据:
[{'1258': 1.0167004,
'160': 1.5989301000000002,
'1620': 1.3058813000000002,
'2571': 0.7914598,
'26': 4.554409,
'2943': 0.5072369,
'2951': 0.4955711,
'2952': 1.2380746000000002,
'2953': 1.6159719,
'2958': 0.4340355,
'2959': 0.6026906,
'2978': 0.619001,
'2985': 1.5677016,
'3075': 1.04948,
'3222': 0.9721148000000001,
'3388': 1.680108,
'341': 0.8871856,
'3443': 0.6000103,
'361': 2.6682623000000003,
'4': 5.227341,
'601': 2.2614983999999994,
'605': 0.6303175999999999,
'9': 5.0326675},
{'1457': 5.625237999999999,
'1469': 25.45585200000001,
'1470': 25.45585200000001,
'160': 0.395728,
'1620': 0.420267,
'2571': 0.449151,
'26': 0.278281,
'601': 0.384822,
'605': 5.746278700000001,
'9': 1.487241},
{'1258': 0.27440200000000003,
'1457': 0.8723639999999999,
'1620': 0.182567,
'2571': 0.197134,
'2943': 0.3461654,
'2951': 0.47372800000000004,
'2952': 0.6662919999999999,
'2953': 0.6725458,
'2958': 0.4437159,
'2959': 0.690856,
'2985': 0.8106226999999999,
'3075': 0.352618,
'3222': 0.7866500000000001,
'3388': 0.760664,
'3443': 0.129771,
'601': 0.345448,
'605': 1.909823,
'9': 0.888999},
{'1258': 1.0853083,
'160': 0.622579,
'1620': 0.7419095,
'2571': 0.9828758,
'2943': 2.254124,
'2951': 0.6294688,
'2952': 1.0965362,
'2953': 1.8409954000000002,
'2958': 0.7394122999999999,
'2959': 0.9398920000000001,
'2978': 0.672122,
'2985': 1.2385512999999997,
'3075': 0.912366,
'3222': 0.8364904,
'3388': 0.37316499999999997,
'341': 1.0399186,
'3443': 0.547093,
'361': 0.3313275,
'601': 0.5318834,
'605': 0.2909876}]
答案 0 :(得分:3)
这是一种方法。我将你的例子简化为一个更容易推理的例子。
>>> dcts = [
... {1:2, 3:4, 5:6},
... {1:3, 6:7, 8:9},
... {6:10, 8:11, 9:12}]
>>>
>>> [{k:v for k,v in d.items() if v == max(d.get(k) for d in dcts)} for d in dcts]
[{3: 4, 5: 6}, {1: 3}, {8: 11, 9: 12, 6: 10}]
编辑:
效率更高,因为每个键只计算一次max:
>>> from operator import or_
>>> from functools import reduce
>>> allkeys = reduce(or_, (d.viewkeys() for d in dcts))
>>> max_vals = {k:max(d.get(k) for d in dcts) for k in allkeys}
>>> result = [{k:v for k,v in d.items() if v == max_vals[k]} for d in dcts]
>>> result
[{3: 4, 5: 6}, {1: 3}, {8: 11, 9: 12, 6: 10}]