python列表里的字典元素去重
去重
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from functools import reduce #导入排序模块 def list_dict_duplicate_removal(): data_list = [{"a": "123", "b": "321"}, {"a": "123", "b": "321"}, {"b": "321", "a": "123"}] run_function = lambda x, y: x if y in x else x + [y] return reduce(run_function, [[], ] + data_list)if __name__ == '__main__': print list_dict_duplicate_removal() |
输出结果：
[{'a': '123', 'b': '321'}]
python列表中元素去重的几种方式
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class StringReverse(object): ''' 列表去重，并按照原来的顺序排序 ''' # 1.利用set方法和sort方法，原序 def string_duplicate_1(self, s): new_s = list(set(s)) # set无序 new_s.sort(key=s.index) return new_s # 2.用列表中的元素作为字典中的key生成一个新字典，然后获取字典的key，非原序 def string_duplicate_2(self, s): a = {} # fromkeys(s,v)该方法的功能是生成一个字典，字典的key是 s中的值，s为可迭代对象，可以为str,tuple,list,set,dict，v为每一个key的值，默认为None return a.fromkeys(s).keys() # 3.利用defaultdict, 非原序 def string_duplicate_3(self, s): # 按照之前的顺序 from collections import defaultdict a = defaultdict() for x in s: a[x] = 0 return a.keys() # 4.最简单的循环，添加入新的列表，如果新列表中没有相同元素，则加入。原序 def string_duplicate_4(self, s): new_s = [] for x in s: if x not in new_s: new_s.append(x) return new_s # 5.利用itertools的groupby方法。非原序 def string_duplicate_5(self, s): from itertools import groupby s.sort() new_groupby = groupby(s) new_s = [] for x,y in new_groupby: new_s.append(x) return new_s # 6.reduce方法。非原序 def string_duplicate_6(self, s): return reduce(lambda x,y:x if y in x else x + [y], [[],] + s)if __name__ == "__main__": stringReverse = StringReverse() s = [1,3,2,34,4,6,6,7,1,4,8,98] print "string_duplicate_1", stringReverse.string_duplicate_1(s) print "string_duplicate_2", stringReverse.string_duplicate_2(s) print "string_duplicate_3", stringReverse.string_duplicate_3(s) print "string_duplicate_4", stringReverse.string_duplicate_4(s) print "string_duplicate_5", stringReverse.string_duplicate_5(s) print "string_duplicate_6", stringReverse.string_duplicate_6(s) |
输出结果为：
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string_duplicate_1 [1, 3, 2, 34, 4, 6, 7, 8, 98]string_duplicate_2 [1, 2, 3, 4, 98, 6, 7, 8, 34]string_duplicate_3 [1, 2, 3, 4, 98, 6, 7, 8, 34]string_duplicate_4 [1, 3, 2, 34, 4, 6, 7, 8, 98]string_duplicate_5 [1, 2, 3, 4, 6, 7, 8, 34, 98]string_duplicate_6 [1, 2, 3, 4, 6, 7, 8, 34, 98] |
