1、zip函数

1)zip函数在只有一个参数时运作的方式。

x = [1, 2, 3]
x = zip(x)
print x
输出:[(1,), (2,), (3,)]

2)zip函数在没有参数时运作的方式。

x = zip()
print x
输出:[]

3)

x = [1, 2, 3]
r = zip(* [x] * 3)
print r

运行的结果是:

[(1, 1, 1), (2, 2, 2), (3, 3, 3)]

它的运行机制是这样的:

[x]生成一个列表的列表,它只有一个元素x

[x] * 3生成一个列表的列表,它有3个元素,[x, x, x]

zip(* [x] * 3)的意思就明确了,zip(x, x, x)

2、先列个自己使用zip时犯下的小错误吧+_+

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" alt="" />

PS:关于Python更详细的用法,参考:http://www.cnblogs.com/BeginMan/archive/2013/03/14/2959447.html

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