如何使字典列表中的值唯一?

How to make values in list of dictionary unique?

我在 Python 中有一个字典列表,如下所示:

d = [{feature_a:1, feature_b:'Jul', feature_c:100}, {feature_a:2, feature_b:'Jul', feature_c:150}, {feature_a:1, feature_b:'Mar', feature_c:110}, ...]

我想要实现的是保持 feature_a_b_c 唯一。

例如,如果我们有 3 个条目具有相同的 feature_a_b,但有 3 个不同的值 feature_c 100100, 150,那么运算后应该是100150.

我怎样才能做到这一点?

============================================= =================== 更新:

好的,感谢 Anand 的出色回答,它工作得很好。但是,我还有一个问题。

假设我们有一个新的 feature_d 并且字典如下所示:

d = [{feature_a:1, feature_b:'Jul', feature_c:100, feature_d:'A'}, {feature_a:2, feature_b:'Jul', feature_c:150, feature_d: 'B'}, {feature_a:1, feature_b:'Mar', feature_c:110, feature_d:'F'}, ...]

我只想对 feature_a_b_c 进行重复数据删除,但将 feature_d 排除在外。我怎样才能做到这一点?

非常感谢。

如果初始d列表的顺序不重要,你可以把每个字典的.items()转换成可散列的frozenset(),然后您可以将整个内容转换为 set()frozenset() ,然后将每个 frozenset() 转换回字典。示例 -

uniq_d = list(map(dict, frozenset(frozenset(i.items()) for i in d)))

sets() 不允许重复元素。尽管您最终会失去列表的顺序。对于 Python 2.x ,不需要 list(...),因为 map() returns 一个列表。


Example/Demo -

>>> import pprint
>>> pprint.pprint(d)
[{'feature_a': 1, 'feature_b': 'Jul', 'feature_c': 100},
 {'feature_a': 2, 'feature_b': 'Jul', 'feature_c': 150},
 {'feature_a': 1, 'feature_b': 'Mar', 'feature_c': 110},
 {'feature_a': 1, 'feature_b': 'Jul', 'feature_c': 100},
 {'feature_a': 1, 'feature_b': 'Jul', 'feature_c': 150}]
>>> uniq_d = list(map(dict, frozenset(frozenset(i.items()) for i in d)))
>>> pprint.pprint(uniq_d)
[{'feature_a': 1, 'feature_b': 'Jul', 'feature_c': 100},
 {'feature_a': 1, 'feature_b': 'Jul', 'feature_c': 150},
 {'feature_a': 1, 'feature_b': 'Mar', 'feature_c': 110},
 {'feature_a': 2, 'feature_b': 'Jul', 'feature_c': 150}]

对于新要求-

However, what if that I have another feature_d but I only want to dedup feature_a, _b and _c

If two entries which have same feature_a, _b and _c, they are considered the same and duplicated, no matter what is in feature_d

一个简单的方法是使用一个集合和一个新列表,仅将您需要的特征添加到集合中,并仅使用您需要的特征进行检查。示例 -

seen_set = set()
new_d = []
for i in d:
    if tuple([i['feature_a'],i['feature_b'],i['feature_c']]) not in seen_set:
        new_d.append(i)
        seen_set.add(tuple([i['feature_a'],i['feature_b'],i['feature_c']]))

Example/Demo -

>>> d = [{'feature_a':1, 'feature_b':'Jul', 'feature_c':100, 'feature_d':'A'},
...  {'feature_a':2, 'feature_b':'Jul', 'feature_c':150, 'feature_d': 'B'},
...  {'feature_a':1, 'feature_b':'Mar', 'feature_c':110, 'feature_d':'F'},
...  {'feature_a':1, 'feature_b':'Mar', 'feature_c':110, 'feature_d':'G'}]
>>> seen_set = set()
>>> new_d = []
>>> for i in d:
...     if tuple([i['feature_a'],i['feature_b'],i['feature_c']]) not in seen_set:
...         new_d.append(i)
...         seen_set.add(tuple([i['feature_a'],i['feature_b'],i['feature_c']]))
...
>>> pprint.pprint(new_d)
[{'feature_a': 1, 'feature_b': 'Jul', 'feature_c': 100, 'feature_d': 'A'},
 {'feature_a': 2, 'feature_b': 'Jul', 'feature_c': 150, 'feature_d': 'B'},
 {'feature_a': 1, 'feature_b': 'Mar', 'feature_c': 110, 'feature_d': 'F'}]