importmultiprocessingdefintersection_of_two_sets(set1,set2):returnset1.intersection(set2)defparallel_intersection(sets):# 使用多进程池进行并行交集计算withmultiprocessing.Pool()aspool:whilelen(sets)>1:# 按照相邻的集合进行两两交集计算sets=pool.starmap(intersection_of_two_sets,[(sets[i],sets[i+1]...
set1={1,2,3,4,5}set2={4,5,6,7,8}intersection_set=set1.intersection(set2)print(intersection_set) 1. 2. 3. 4. Output: {4, 5} 1. In the above code, we have two setsset1andset2. Theintersectionfunction is called onset1and passedset2as an argument. The resulting setintersectio...
def intersection(self, *args, **kwargs): # real signature unknown """ Return the intersection of two sets as a new set. (i.e. all elements that are in both sets.) """ pass 翻译:返回一个在两个集合里面的共有元素作为新的集合 所有元素在两个集合里面都存在 View Code 9.intersection_upd...
# 计算多集合交集def intersection_sets(*sets): result = sets[0] for s in sets[1:]: result &= s return resultset1 = {1, 2, 3, 4}set2 = {3, 4, 5}set3 = {2, 4, 6}intersection = intersection_sets(set1, set2, set3)print(f"集合交集为：{intersection}") # ...
9. intersection(self, *args, **kwargs) [ˌɪntəˈsekʃn] 交叉 Return the intersection of two sets as a new set 求2个集合的交集(也就是取出来既会py又会linux的人) python_1 = ["ggq","ytj","mr","mr","ggq"] linux_1= ["ggq","ytj"] ...
| Return the difference of two or more sets as a new set. | | (i.e. all elements that are in this set but not the others.) | | intersection(...) | Return the intersection of two sets as a new set. | | (i.e. all elements that are in both sets.) | | isdisjoint(...)...
Return the intersection of two sets as a new set. 交集 (i.e. all elements that are in both sets.) """ pass defintersection_update(self, *args, **kwargs): # real signature unknown """ Update a set with the intersection of itself and another. 取交集并更更新到A中 """ ...
移除指定元素,不存在不保错 """ pass def intersection(self, *args, **kwargs): # real signature unknown """ Return the intersection of two sets as a new set. 交集 (i.e. all elements that are in both sets.) """ pass def intersection_update(self, *args, **kwargs): # real signatu...
intersection(valid)) 具体执行结果如下: 2、差集 你可以用差集(difference)找出无效的数据,相当于用一个集合减去另一个集合的数据,例如: valid = set(['yellow', 'red', 'blue', 'green', 'black']) input_set = set(['red', 'brown']) print(input_set.difference(valid)) 具体执行结果如下: 你...
intersection() & Returns a set, that is the intersection of two other sets intersection_update() &= Removes the items in this set that are not present in other, specified set(s) isdisjoint() Returns whether two sets have a intersection or not issubset() <= Returns whether another set con...