itemgetter获取字典元素
groupby分组
代码示例
from itertools import groupby from operator import itemgetter d1 = {"name": "Tom", "age": 23, "country": "cn"} d2 = {"name": "Jimi", "age": 21, "country": "en"} d3 = {"name": "Tomy", "age": 22, "country": "usa"} d4 = {"name": "Mimi", "age": 23, "country": "cn"} d5 = {"name": "Jack", "age": 24, "country": "en"} lst = [d1, d2, d3, d4, d5] # 排序 lst.sort(key=itemgetter("country")) # lst.sort(key=lambda x: x["country"]) for d in lst: print(d) """ {'name': 'Tom', 'age': 23, 'country': 'cn'} {'name': 'Mimi', 'age': 23, 'country': 'cn'} {'name': 'Jimi', 'age': 21, 'country': 'en'} {'name': 'Jack', 'age': 24, 'country': 'en'} {'name': 'Tomy', 'age': 22, 'country': 'usa'} """ # 分组 groups = groupby(lst, key=itemgetter("country")) # groups = groupby(lst, key=lambda x: x["country"]) for key, group in groups: print(key) for g in group: print("\t", g) """ cn {'name': 'Tom', 'age': 23, 'country': 'cn'} {'name': 'Mimi', 'age': 23, 'country': 'cn'} en {'name': 'Jimi', 'age': 21, 'country': 'en'} {'name': 'Jack', 'age': 24, 'country': 'en'} usa {'name': 'Tomy', 'age': 22, 'country': 'usa'} """