Python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)

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

How to download DeepSeek Xiaomi? Search for "DeepSeek" in the Xiaomi App Store. If it is not found, continue to step 2. Identify your needs (search files, data analysis), and find the corresponding tools (such as file managers, data analysis software) that include DeepSeek functions.

The key to using DeepSeek effectively is to ask questions clearly: express the questions directly and specifically. Provide specific details and background information. For complex inquiries, multiple angles and refute opinions are included. Focus on specific aspects, such as performance bottlenecks in code. Keep a critical thinking about the answers you get and make judgments based on your expertise.

Just use the search function that comes with DeepSeek. Its powerful semantic analysis algorithm can accurately understand the search intention and provide relevant information. However, for searches that are unpopular, latest information or problems that need to be considered, it is necessary to adjust keywords or use more specific descriptions, combine them with other real-time information sources, and understand that DeepSeek is just a tool that requires active, clear and refined search strategies.

DeepSeek is not a programming language, but a deep search concept. Implementing DeepSeek requires selection based on existing languages. For different application scenarios, it is necessary to choose the appropriate language and algorithms, and combine machine learning technology. Code quality, maintainability, and testing are crucial. Only by choosing the right programming language, algorithms and tools according to your needs and writing high-quality code can DeepSeek be successfully implemented.

Question: Is DeepSeek available for accounting? Answer: No, it is a data mining and analysis tool that can be used to analyze financial data, but it does not have the accounting record and report generation functions of accounting software. Using DeepSeek to analyze financial data requires writing code to process data with knowledge of data structures, algorithms, and DeepSeek APIs to consider potential problems (e.g. programming knowledge, learning curves, data quality)

Python is an ideal programming introduction language for beginners through its ease of learning and powerful features. Its basics include: Variables: used to store data (numbers, strings, lists, etc.). Data type: Defines the type of data in the variable (integer, floating point, etc.). Operators: used for mathematical operations and comparisons. Control flow: Control the flow of code execution (conditional statements, loops).

Pythonempowersbeginnersinproblem-solving.Itsuser-friendlysyntax,extensivelibrary,andfeaturessuchasvariables,conditionalstatements,andloopsenableefficientcodedevelopment.Frommanagingdatatocontrollingprogramflowandperformingrepetitivetasks,Pythonprovid

Detailed explanation of DeepSeekAPI access and call: Quick Start Guide This article will guide you in detail how to access and call DeepSeekAPI, helping you easily use powerful AI models. Step 1: Get the API key to access the DeepSeek official website and click on the "Open Platform" in the upper right corner. You will get a certain number of free tokens (used to measure API usage). In the menu on the left, click "APIKeys" and then click "Create APIkey". Name your APIkey (for example, "test") and copy the generated key right away. Be sure to save this key properly, as it will only be displayed once
