简单记一下python中List的sort方法(或者sorted内建函数)的用法。
List的元素可以是各种东西,字符串,字典,自己定义的类等。
sorted函数用法如下:
sorted(data, cmp=None, key=None, reverse=False)
其中,data是待排序数据,可以使List或者iterator, cmp和key都是函数,这两个函数作用与data的元素上产生一个结果,sorted方法根据这个结果来排序。
cmp(e1, e2) 是带两个参数的比较函数, 返回值: 负数: e1 e2. 默认为 None, 即用内建的比较函数.
key 是带一个参数的函数, 用来为每个元素提取比较值. 默认为 None, 即直接比较每个元素.
通常, key 和 reverse 比 cmp 快很多, 因为对每个元素它们只处理一次; 而 cmp 会处理多次.
通过例子来说明sorted的用法:
1. 对由tuple组成的List排序
>>> students = [('john', 'A', 15), ('jane', 'B', 12), ('dave', 'B', 10),]
用key函数排序(lambda的用法见 注释1)
>>> sorted(students, key=lambda student : student[2]) # sort by age [('dave', 'B', 10), ('jane', 'B', 12), ('john', 'A', 15)]
用cmp函数排序
>>> sorted(students, cmp=lambda x,y : cmp(x[2], y[2])) # sort by age [('dave', 'B', 10), ('jane', 'B', 12), ('john', 'A', 15)]
用 operator 函数来加快速度, 上面排序等价于:(itemgetter的用法见 注释2)
>>> from operator import itemgetter, attrgetter >>> sorted(students, key=itemgetter(2))
用 operator 函数进行多级排序
>>> sorted(students, key=itemgetter(1,2)) # sort by grade then by age [('john', 'A', 15), ('dave', 'B', 10), ('jane', 'B', 12)]
2. 对由字典排序
>>> d = {'data1':3, 'data2':1, 'data3':2, 'data4':4} >>> sorted(d.iteritems(), key=itemgetter(1), reverse=True) [('data4', 4), ('data1', 3), ('data3', 2), ('data2', 1)]
注释1
参考:http://jasonwu.me/2011/10/29/introduce-to-python-lambda.html
注释2
参考:http://ar.newsmth.net/thread-90745710c90cf1.html
class itemgetter(__builtin__.object) | itemgetter(item, ...) --> itemgetter object | | Return a callable object that fetches the given item(s) from its operand. | After, f=itemgetter(2), the call f(r) returns r[2]. | After, g=itemgetter(2,5,3), the call g(r) returns (r[2], r[5], r[3])
相当于
def itemgetter(i,*a): def func(obj): r = obj[i] if a: r = (r,) + tuple(obj[i] for i in a) return r return func >>> a = [1,2,3] >>> b=operator.itemgetter(1) >>> b(a) 2 >>> b=operator.itemgetter(1,0) >>> b(a) (2, 1) >>> b=itemgetter(1) >>> b(a) 2 >>> b=itemgetter(1,0) >>> b(a) (2, 1)
参考资料:
1. http://www.linuxso.com/linuxbiancheng/13340.html
2. http://www.douban.com/note/13460891/

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