range和切片
2015-06-11 13:36
190 查看
L = ['Jianan', 'libo', 'chenxin', 'hanxu'] r = [] n = 3 for i in range(n): r.append(L[i]) print r print L[:3] #L[0] - L[2] print L[-2:-1] #倒数第2个 - 倒数第1个之间的元素(不包括倒数第1个) L = list(range(100)) # print L print L[:10] #L[0] - L[9] print L[10:20] #L[10] - L[19] print L[-10:] #取后10个元素 print L[::5] #每隔5个取一个元素 print L[:] #复制L表 ''' ['Jianan', 'libo', 'chenxin'] ['Jianan', 'libo', 'chenxin'] ['chenxin'] [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99] [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] [10, 11, 12, 13, 14, 15, 16, 17, 18, 19] [90, 91, 92, 93, 94, 95, 96, 97, 98, 99] [0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95] [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99] '''
相关文章推荐
- Description Resource Path Location Type Unknown error: java.lang.NullPointerException
- 雷军:说小米“物美价廉”是骂人,我们这是世界艺术品
- SD-如何根据销售单位确认数量,避免出现小数确认数量
- Xampp Ubuntu安装
- android 实现照相功能 照片存放在SID卡中,将照片显示在Image中
- weblogic可以生成windows服务,这样就不用每次重启机器的时候重启weblogic了
- Office 64 bit versions are NOT supported for BEx tools
- 安卓真机调试怎么连接本地服务器
- Highcharts做柱状图怎样样每个柱子都是不同的颜色显示
- 使用jquery jcrop插件进行图片的截取与保存
- [TypeScript] 建置输出单一JavaScript档案(.js)与Declaration档案(.d.ts)
- 17 行为型模式-----迭代器模式
- 强强联合:FluxBB 作者加盟 Flarum
- 设计模式----观察者模式 实例
- 寒门再难出贵子
- jq 地区(省市县区)联动菜单
- UIImagePickerController 的基本用法 - iOS - UI基础知识总结14
- ural1006 Square Frames
- Python sys.argv的用法
- UFLDL教程笔记及练习答案四(建立分类用深度学习---栈式自编码神经网络)