2个字典列表的Python交集 [英] Python intersection of 2 lists of dictionaries

问题描述

我有 2 个类似的 dicts 列表

I have 2 lists of dicts like

list1 = [{'count': 351, 'evt_datetime': datetime.datetime(2015, 10, 23, 8, 45), 'att_value': 'red'},
     {'count': 332, 'evt_datetime': datetime.datetime(2015, 10, 23, 8, 45), 'att_value': 'red'},
     {'count': 336, 'evt_datetime': datetime.datetime(2015, 10, 23, 8, 45), 'att_value': 'red'},
     {'count': 359, 'evt_datetime': datetime.datetime(2015, 10, 23, 8, 45), 'att_value': 'red'},
     {'count': 309, 'evt_datetime': datetime.datetime(2015, 10, 23, 8, 45), 'att_value': 'red'}]


list2 = [{'count': 359, 'evt_datetime': datetime.datetime(2015, 10, 23, 8, 45), 'att_value': 'red'},
     {'count': 351, 'evt_datetime': datetime.datetime(2015, 10, 23, 8, 45), 'att_value': 'red'},
     {'count': 381, 'evt_datetime': datetime.datetime(2015, 10, 22, 8, 45), 'att_value': 'red'}]

我正在尝试从两个列表中获取常见的字典.我想要的输出是字典的键和值的精确匹配.

I am trying to get common dicts from both the list. My desired output to be exact matches of the keys and values of the dict.

[{'count': 359, 'evt_datetime': datetime.datetime(2015, 10, 23, 8, 45), 'att_value': 'red'},
     {'count': 351, 'evt_datetime': datetime.datetime(2015, 10, 23, 8, 45), 'att_value': 'red'}]

这可以由python本身有效地完成还是需要像pandas这样的lib?

Can this done by python itself efficiently or would require lib like pandas?

推荐答案

使用列表推导式:

[x for x in list1 if x in list2]

这会返回我的数据列表:

This returns me this list for your data:

[{'count': 351, 'evt_datetime': datetime.datetime(2015, 10, 23, 8, 45), 'att_value': 'red'}, {'count': 359, 'evt_datetime': datetime.datetime(2015, 10, 23, 8, 45), 'att_value': 'red'}]

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