search
HomeBackend DevelopmentPython TutorialExample code for creating employee information table using Python

This article brings you example code about using Python to create an employee information table. It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you.

This is a comprehensive exercise question, the requirements are as follows:
Create an employee information table, the format is:

#字段1,字段2,字段3,字段4,字段5
#1,***  ,***  ,  *******,***
#2,***,  ***, *******,***
#3,*** ,***   ,  *****,  ***

Requirements can be queried based on conditional statements, the format is select where Separate commands with spaces

def emp(): 
    lis_res = [[],[],[],[],[]] #定义最终存储数据的列表
    with open('yuangong','r',encoding='utf-8') as f:
        cha = input('请输入查询语句,格式为:select *** where *** > ***').strip()
        lis = cha.split(' ')#定义存放输入语句的列表
        n = [] #n表示符合查询变量的字符串所在列表位置
        if lis[0] == 'select' and lis[2] == 'where':#设定关键字条件
            lis1 = lis[1].split(',')#定义查询元素的列表
            lis_title = f.readline().split(',') #文件中第一行为字段名
            lis_title = [s.strip() for s in lis_title]#列表推导式,去掉每个元素两边的空格
            for v in lis1:#循环遍历要查询的字段是否在文件中
                if v in lis_title:
                    n.append(lis_title.index(v))
            if '*' in lis[1]:n=[0,1,2,3,4]#定义使用*模糊查询
            if n == []: #如果字段不存在则退出程序
                print('查询的字段不存在')
                return
            if lis[4] == '>':#检查条件语句是否是大于号
                if lis[3] in lis_title: #字段是否包含条件语句
                    m = lis_title.index(lis[3]) #m表示符合条件语句的字符串所在列表位置
                else:
                    print('字段不含有该条件')
                    return
                for v in f:
                    lis_f = v.split(',')#把取出来的每条数据都转化成列表
                    lis_f = [s.strip() for s in lis_f] #列表推导式,去掉每个元素两边的空格
                    if lis_f[m].isdigit() and lis[5].isdigit():#检查条件是否都为数字
                        if int(lis_f[m]) > int(lis[5]):
                            for i in n:#如果条件成立则把结果追加到lis_res中
                                lis_res[i].append(lis_f[i])
                    else:print('无法进行比较')
            elif lis[4] == '<pre class="brush:php;toolbar:false">请输入查询语句,格式为:select *** where *** > ***select * where phone like 188
1  tom  25  18888888888  it

The above is the detailed content of Example code for creating employee information table using Python. For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:segmentfault思否. If there is any infringement, please contact admin@php.cn delete
Python vs. C  : Learning Curves and Ease of UsePython vs. C : Learning Curves and Ease of UseApr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

Python vs. C  : Memory Management and ControlPython vs. C : Memory Management and ControlApr 19, 2025 am 12:17 AM

Python and C have significant differences in memory management and control. 1. Python uses automatic memory management, based on reference counting and garbage collection, simplifying the work of programmers. 2.C requires manual management of memory, providing more control but increasing complexity and error risk. Which language to choose should be based on project requirements and team technology stack.

Python for Scientific Computing: A Detailed LookPython for Scientific Computing: A Detailed LookApr 19, 2025 am 12:15 AM

Python's applications in scientific computing include data analysis, machine learning, numerical simulation and visualization. 1.Numpy provides efficient multi-dimensional arrays and mathematical functions. 2. SciPy extends Numpy functionality and provides optimization and linear algebra tools. 3. Pandas is used for data processing and analysis. 4.Matplotlib is used to generate various graphs and visual results.

Python and C  : Finding the Right ToolPython and C : Finding the Right ToolApr 19, 2025 am 12:04 AM

Whether to choose Python or C depends on project requirements: 1) Python is suitable for rapid development, data science, and scripting because of its concise syntax and rich libraries; 2) C is suitable for scenarios that require high performance and underlying control, such as system programming and game development, because of its compilation and manual memory management.

Python for Data Science and Machine LearningPython for Data Science and Machine LearningApr 19, 2025 am 12:02 AM

Python is widely used in data science and machine learning, mainly relying on its simplicity and a powerful library ecosystem. 1) Pandas is used for data processing and analysis, 2) Numpy provides efficient numerical calculations, and 3) Scikit-learn is used for machine learning model construction and optimization, these libraries make Python an ideal tool for data science and machine learning.

Learning Python: Is 2 Hours of Daily Study Sufficient?Learning Python: Is 2 Hours of Daily Study Sufficient?Apr 18, 2025 am 12:22 AM

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Python for Web Development: Key ApplicationsPython for Web Development: Key ApplicationsApr 18, 2025 am 12:20 AM

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python vs. C  : Exploring Performance and EfficiencyPython vs. C : Exploring Performance and EfficiencyApr 18, 2025 am 12:20 AM

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

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 Tools

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

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

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!