python列表问题
这里把list1排序后,list3会跟着list1去改变,但是为什么吧list1列表改了,list3不跟着一起变。 因为它们是不同的列表,只需要再更新一下列表就行了 和贴标签一个道理,你把list1的标签撕下来,贴到上,和list3肯定没有关系但列表的方法是不会改变标签的 你这样就相当于把原来的列表覆盖了,新建了一个新的同名列表 你把list1重新指向了,list3还在原来的位置。
就像你把list1的门牌号拿走了,list3还是原来的门牌号一样。 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
用id命令就明白了,list1=之后,id变了,已经不指向以前的数组了
而list3还是指向以前的数组,所以没有变,而且list2跟list1,list3的指向的地址也不一样,所以排序不会跟着变化
有人给加点鱼币么{:5_109:}
在python中每个变量都有id地址,你可以用id(变量名)来查询是不是来自同一个地址,若是本身值发生改变一定也随之改变
list1.sort()
上面这个是对你列表本身进行重新排序,改变了列表本身的值,以为list1 和list3 id相同(地址相同)
值本身的改变也就会导致同id的值都一起改变,还有各种对列表直接进行改变的如append()、insert()、remove()等等都是同理
list1 =
但是你这里是直接赋值,所以会把原有的值给覆盖了,而不是在原有的列表上进行改变 {:5_92:}
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