Python: python 集合set

python的set和其他语言类似, 是一个无序不重复元素集, 基本功能包括关系测试和消除重复元素. 集合对象还支持union(联合), intersection(交), difference(差)和sysmmetric difference(对称差集)等数学运算.

下面来点简单的小例子说明把。
 >>> x = set(' spam ' )
 >>> y = set([' h ' ,' a ' ,' m ' ])
 >>> x, y
(set([ ' a ' , ' p ' , ' s ' , ' m ' ]), set([' a ' , ' h ' , ' m ' ]))
再来些小应用。
 >>> x & y #  交集
set([' a ' , ' m ' ])
 >>> x | y #  并集
set([' a ' , ' p ' , ' s ' , ' h ' , ' m ' ])
 >>> x - y #  差集
set([' p ' , ' s ' ])
 
a = t | s          #  t 和 s的并集
b  = t & s          #  t 和 s的交集
c  = t – s          #  求差集(项在t中,但不在s中)
d  = t ^ s          #  对称差集(项在t或s中,但不会同时出现在二者中)    
#Python中,使用相应的优化函数可以大大的提高系统的运行效率。比如下面的这个例子:
fromtime importtime
lista =[1,2, 3, 4,5, 6, 7 ,8, 9, 10, 25, 50, 36, 43, 52]
listb =[2, 4, 6, 9, 36]
def noset_test():
	t  = time()
	filter =[]
	 for  i in  range(100000):
		 for  a in  lista:
			 for  b in  listb:
				 if  a==b:
					filter.append(a)
	 print  ' no set total run time: '
print  time() -t
def set_test():
	t1  = time()
	 for  i in  range(100000):
		list(set(lista) &set(listb))
	 print  " set total run time: >"
print  time() - t1
noset_test();
set_test();
输出为:
no set total run time:
 0.365000009537
set total run time:
 0.15700006485
通过使用set,运行的时间明显的有缩减。
 
engineers = set([' John ' , ' Jane ' , ' Jack ' , ' Janice ' ])
programmers  = set([' Jack ' , ' Sam ' , ' Susan ' , ' Janice ' ])
managers  = set([' Jane ' , ' Jack ' , ' Susan ' , ' Zack ' ])
employees  = list(engineers | programmers | managers)           #  union
engineering_management = list(engineers & managers)            #  intersection
fulltime_management = list(managers - engineers - programmers) #  difference
print " employees >" , employees
 print " engineering_management >"  ,engineering_management
 print  " fulltime_management >" , fulltime_management
输出为:
employees [ ' Jack ' , ' Sam ' , ' Susan ' , ' Jane ' , ' Janice ' , ' John ' , ' Zack ' ]
engineering_management [ ' Jane ' , ' Jack ' ]
fulltime_management [ ' Zack ' ] 

原文:http://www.cnblogs.com/zhxhdean/p/4564075.html

You might also like:

Sidebar