搜索
首页后端开发Python教程深入了解Python数据类型之列表

一.基本数据类型

整数:int
字符串:str(注:\t等于一个tab键)
布尔值: bool
列表:list (元素的集合)
列表用[]
元祖:tuple
元祖用()
字典:dict
注:所有的数据类型都存在想对应的类列里

二.列表所有数据类型:

基本操作:

•索引
•切片
•追加
•删除
•长度
•切片
•循环
•包含

list

class list(object):
  """
  list() -> new empty list
  list(iterable) -> new list initialized from iterable's items
  """
  def append(self, p_object): # real signature unknown; restored from __doc__
    """ L.append(object) -> None -- append object to end """
    (L.append(对象)- >——没有一个对象附加到结束)
    pass

  def clear(self): # real signature unknown; restored from __doc__
    """ L.clear() -> None -- remove all items from L """
    (L.clear()- >没有,把所有项目从L)
    pass

  def copy(self): # real signature unknown; restored from __doc__
    """ L.copy() -> list -- a shallow copy of L """
    (L.copy()- >列表- L的浅拷贝)
    return []

  def count(self, value): # real signature unknown; restored from __doc__
    """ L.count(value) -> integer -- return number of occurrences of value """
    (L.count(价值)- >整数,返回值的出现次数)
    return 0

  def extend(self, iterable): # real signature unknown; restored from __doc__
    """ L.extend(iterable) -> None -- extend list by appending elements from the iterable """
    (L.extend(iterable)- >没有——从iterable扩展列表通过添加元)
    pass

  def index(self, value, start=None, stop=None): # real signature unknown; restored from __doc__
    """
    L.index(value, [start, [stop]]) -> integer -- return first index of value.
    Raises ValueError if the value is not present.
    (l指数(价值,[开始,[不要]])- >整数,返回第一索引值。提出了ValueError如果不存在的价值。)
    """
    return 0

  def insert(self, index, p_object): # real signature unknown; restored from __doc__
    """ L.insert(index, object) -- insert object before index """
    (l插入(指数(对象)——前插入对象索引)
    pass

  def pop(self, index=None): # real signature unknown; restored from __doc__
    """
    L.pop([index]) -> item -- remove and return item at index (default last).
    Raises IndexError if list is empty or index is out of range.
    (L.pop((指数))- >项目——删除并返回项指数(默认)。提出了IndexError如果列表为空或索引的范围。)
    """
    pass

  def remove(self, value): # real signature unknown; restored from __doc__
    """
    L.remove(value) -> None -- remove first occurrence of value.
    Raises ValueError if the value is not present.
    """
    (L.remove(价值)- >没有,删除第一次出现的值。提出了ValueError如果不存在的价值。)
    pass

  def reverse(self): # real signature unknown; restored from __doc__
    """ L.reverse() -- reverse *IN PLACE* """
    pass

  def sort(self, key=None, reverse=False): # real signature unknown; restored from __doc__
    """ L.sort(key=None, reverse=False) -> None -- stable sort *IN PLACE* """
    pass

  def __add__(self, *args, **kwargs): # real signature unknown
    """ Return self+value. """
    pass

  def __contains__(self, *args, **kwargs): # real signature unknown
    """ Return key in self. """
    pass

  def __delitem__(self, *args, **kwargs): # real signature unknown
    """ Delete self[key]. """
    pass

  def __eq__(self, *args, **kwargs): # real signature unknown
    """ Return self==value. """
    pass

  def __getattribute__(self, *args, **kwargs): # real signature unknown
    """ Return getattr(self, name). """
    pass

  def __getitem__(self, y): # real signature unknown; restored from __doc__
    """ x.__getitem__(y) <==> x[y] """
    pass

  def __ge__(self, *args, **kwargs): # real signature unknown
    """ Return self>=value. """
    pass

  def __gt__(self, *args, **kwargs): # real signature unknown
    """ Return self>value. """
    pass

  def __iadd__(self, *args, **kwargs): # real signature unknown
    """ Implement self+=value. """
    pass

  def __imul__(self, *args, **kwargs): # real signature unknown
    """ Implement self*=value. """
    pass

  def __init__(self, seq=()): # known special case of list.__init__
    """
    list() -> new empty list
    list(iterable) -> new list initialized from iterable's items
    # (copied from class doc)
    """
    pass

  def __iter__(self, *args, **kwargs): # real signature unknown
    """ Implement iter(self). """
    pass

  def __len__(self, *args, **kwargs): # real signature unknown
    """ Return len(self). """
    pass

  def __le__(self, *args, **kwargs): # real signature unknown
    """ Return self<=value. """
    pass

  def __lt__(self, *args, **kwargs): # real signature unknown
    """ Return self<value. """
    pass

  def __mul__(self, *args, **kwargs): # real signature unknown
    """ Return self*value.n """
    pass

  @staticmethod # known case of __new__
  def __new__(*args, **kwargs): # real signature unknown
    """ Create and return a new object. See help(type) for accurate signature. """
    pass

  def __ne__(self, *args, **kwargs): # real signature unknown
    """ Return self!=value. """
    pass

  def __repr__(self, *args, **kwargs): # real signature unknown
    """ Return repr(self). """
    pass

  def __reversed__(self): # real signature unknown; restored from __doc__
    """ L.__reversed__() -- return a reverse iterator over the list """
    pass

  def __rmul__(self, *args, **kwargs): # real signature unknown
    """ Return self*value. """
    pass

  def __setitem__(self, *args, **kwargs): # real signature unknown
    """ Set self[key] to value. """
    pass

  def __sizeof__(self): # real signature unknown; restored from __doc__
    """ L.__sizeof__() -- size of L in memory, in bytes """
    pass

  __hash__ = None

三.所有列表数据类型举例

#!/usr/bin/env python

# -*- coding:utf-8 -*-

 

#append追加

name_list = ["zhangyanlin","suoning","nick"]

name_list.append('zhang')

print(name_list)

 

#count制定字符出现几次

name_list = ["zhangyanlin","suoning","nick"]

name_list.append('zhang')

name_list.append('zhang')

name_list.append('zhang')

print(name_list.count('zhang'))

 

#extend可扩展,批量往里加数据

name_list = ["zhangyanlin","suoning","nick"]

name = ["aylin","zhang","yan","lin"]

name_list.extend(name)

print(name_list)

 

#index找到字符所在的位置

name_list = ["zhangyanlin","suoning","nick"]

print(name_list.index('nick'))

 

#insert插入,往索引里面插入值

name_list = ["zhangyanlin","suoning","nick"]

name_list.insert(1,"zhang")

print(name_list)

 

#pop在原列表中移除掉最后一个元素,并赋值给另一个变量

name_list = ["zhangyanlin","suoning","nick"]

name = name_list.pop()

print(name)

 

#remove移除,只移除从左边找到的第一个

name_list = ["zhangyanlin","suoning","nick"]

name_list.remove('nick')

print(name_list)

 

#reverse反转

name_list = ["zhangyanlin","suoning","nick"]

name_list.reverse()

print(name_list)

 

#del删除其中元素,删除1到3之间的

name_list = ["zhangyanlin","suoning","nick"]

del name_list[1:3]

print(name_list)

四.索引

name_list = ["zhangyanlin","suoning""aylin""nick"]

print(name_list[0])

五.切片

name_list = ["zhangyanlin","suoning""aylin""nick"]

print(name_list[0:2])

六.总长度len

name_list = ["zhangyanlin","suoning""aylin""nick"]

print(name_list[1:len(name_list)])

七.for循环

name_list = ["zhangyanlin","suoning""aylin""nick"]

for i in name_list:

  print(i)

以上就是小编为大家带来的深入了解Python数据类型之列表全部内容了,希望大家多多支持脚本之家~

声明
本文内容由网友自发贡献,版权归原作者所有,本站不承担相应法律责任。如您发现有涉嫌抄袭侵权的内容,请联系admin@php.cn
Python vs. C:了解关键差异Python vs. C:了解关键差异Apr 21, 2025 am 12:18 AM

Python和C 各有优势,选择应基于项目需求。1)Python适合快速开发和数据处理,因其简洁语法和动态类型。2)C 适用于高性能和系统编程,因其静态类型和手动内存管理。

Python vs.C:您的项目选择哪种语言?Python vs.C:您的项目选择哪种语言?Apr 21, 2025 am 12:17 AM

选择Python还是C 取决于项目需求:1)如果需要快速开发、数据处理和原型设计,选择Python;2)如果需要高性能、低延迟和接近硬件的控制,选择C 。

达到python目标:每天2小时的力量达到python目标:每天2小时的力量Apr 20, 2025 am 12:21 AM

通过每天投入2小时的Python学习,可以有效提升编程技能。1.学习新知识:阅读文档或观看教程。2.实践:编写代码和完成练习。3.复习:巩固所学内容。4.项目实践:应用所学于实际项目中。这样的结构化学习计划能帮助你系统掌握Python并实现职业目标。

最大化2小时:有效的Python学习策略最大化2小时:有效的Python学习策略Apr 20, 2025 am 12:20 AM

在两小时内高效学习Python的方法包括:1.回顾基础知识,确保熟悉Python的安装和基本语法;2.理解Python的核心概念,如变量、列表、函数等;3.通过使用示例掌握基本和高级用法;4.学习常见错误与调试技巧;5.应用性能优化与最佳实践,如使用列表推导式和遵循PEP8风格指南。

在Python和C之间进行选择:适合您的语言在Python和C之间进行选择:适合您的语言Apr 20, 2025 am 12:20 AM

Python适合初学者和数据科学,C 适用于系统编程和游戏开发。1.Python简洁易用,适用于数据科学和Web开发。2.C 提供高性能和控制力,适用于游戏开发和系统编程。选择应基于项目需求和个人兴趣。

Python与C:编程语言的比较分析Python与C:编程语言的比较分析Apr 20, 2025 am 12:14 AM

Python更适合数据科学和快速开发,C 更适合高性能和系统编程。1.Python语法简洁,易于学习,适用于数据处理和科学计算。2.C 语法复杂,但性能优越,常用于游戏开发和系统编程。

每天2小时:Python学习的潜力每天2小时:Python学习的潜力Apr 20, 2025 am 12:14 AM

每天投入两小时学习Python是可行的。1.学习新知识:用一小时学习新概念,如列表和字典。2.实践和练习:用一小时进行编程练习,如编写小程序。通过合理规划和坚持不懈,你可以在短时间内掌握Python的核心概念。

Python与C:学习曲线和易用性Python与C:学习曲线和易用性Apr 19, 2025 am 12:20 AM

Python更易学且易用,C 则更强大但复杂。1.Python语法简洁,适合初学者,动态类型和自动内存管理使其易用,但可能导致运行时错误。2.C 提供低级控制和高级特性,适合高性能应用,但学习门槛高,需手动管理内存和类型安全。

See all articles

热AI工具

Undresser.AI Undress

Undresser.AI Undress

人工智能驱动的应用程序,用于创建逼真的裸体照片

AI Clothes Remover

AI Clothes Remover

用于从照片中去除衣服的在线人工智能工具。

Undress AI Tool

Undress AI Tool

免费脱衣服图片

Clothoff.io

Clothoff.io

AI脱衣机

Video Face Swap

Video Face Swap

使用我们完全免费的人工智能换脸工具轻松在任何视频中换脸!

热工具

SublimeText3汉化版

SublimeText3汉化版

中文版,非常好用

SublimeText3 英文版

SublimeText3 英文版

推荐:为Win版本,支持代码提示!

SublimeText3 Linux新版

SublimeText3 Linux新版

SublimeText3 Linux最新版

WebStorm Mac版

WebStorm Mac版

好用的JavaScript开发工具

mPDF

mPDF

mPDF是一个PHP库,可以从UTF-8编码的HTML生成PDF文件。原作者Ian Back编写mPDF以从他的网站上“即时”输出PDF文件,并处理不同的语言。与原始脚本如HTML2FPDF相比,它的速度较慢,并且在使用Unicode字体时生成的文件较大,但支持CSS样式等,并进行了大量增强。支持几乎所有语言,包括RTL(阿拉伯语和希伯来语)和CJK(中日韩)。支持嵌套的块级元素(如P、DIV),