search
HomeBackend DevelopmentPython TutorialPython数据类型详解(二)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)

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Merging Lists in Python: Choosing the Right MethodMerging Lists in Python: Choosing the Right MethodMay 14, 2025 am 12:11 AM

TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

How to concatenate two lists in python 3?How to concatenate two lists in python 3?May 14, 2025 am 12:09 AM

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Python concatenate list stringsPython concatenate list stringsMay 14, 2025 am 12:08 AM

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.

Python execution, what is that?Python execution, what is that?May 14, 2025 am 12:06 AM

PythonexecutionistheprocessoftransformingPythoncodeintoexecutableinstructions.1)Theinterpreterreadsthecode,convertingitintobytecode,whichthePythonVirtualMachine(PVM)executes.2)TheGlobalInterpreterLock(GIL)managesthreadexecution,potentiallylimitingmul

Python: what are the key featuresPython: what are the key featuresMay 14, 2025 am 12:02 AM

Key features of Python include: 1. The syntax is concise and easy to understand, suitable for beginners; 2. Dynamic type system, improving development speed; 3. Rich standard library, supporting multiple tasks; 4. Strong community and ecosystem, providing extensive support; 5. Interpretation, suitable for scripting and rapid prototyping; 6. Multi-paradigm support, suitable for various programming styles.

Python: compiler or Interpreter?Python: compiler or Interpreter?May 13, 2025 am 12:10 AM

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Python For Loop vs While Loop: When to Use Which?Python For Loop vs While Loop: When to Use Which?May 13, 2025 am 12:07 AM

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Python loops: The most common errorsPython loops: The most common errorsMay 13, 2025 am 12:07 AM

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

MinGW - Minimalist GNU for Windows

MinGW - Minimalist GNU for Windows

This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

DVWA

DVWA

Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool