search
HomeBackend DevelopmentPython TutorialDetailed explanation of Python three-level menu examples

Detailed explanation of Python three-level menu examples

Sep 15, 2017 am 10:51 AM
pythonExampleDetailed explanation

The editor below will bring you an example of a Python three-level menu. The editor thinks it’s pretty good, so I’ll share it with you now and give it as a reference. Let’s follow the editor and take a look.

Requirements:

Print the provincial, city and county three-level menu

You can return to the previous level

You can exit the program at any time

Version 1


# _author : Ahern Li
# @_date : 2017/9/12

menu = {
  '浙江省':{
    '杭州市':{
      '余杭区':{'中泰':{},'临平':{}},
      '西湖区':{'西湖':{},'留下':{}}
      },
    '温州市':{
      '苍南县':{'灵溪':{},'龙港':{}},
      '瑞安县':{'安阳':{},'锦湖':{}}
      }
    },
  '广东省':{
    '广州市':{
      '越秀区':{'人民路':{},'北京路':{}},
      '荔湾区':{'沙面':{},'龙津':{}}
      },
    '珠海市':{
      '香洲区':{'拱北':{},'吉大':{}},
      '金湾区':{'红旗镇':{},'平沙镇':{}}
      }
    }
  }

# 返回标记
q_flag = True
# 退出标记
Q_flag = True
# 返回,退出标记出现False退出循环
while q_flag and Q_flag:
  # 遍历打印省份
  for i in menu:
    print(i)
  province = input('请输入要查找的省份(Q,退出):').strip()
  if province in menu:
    while q_flag and Q_flag:
      for i in menu[province]:
        print(i)
      city = input('请输入要查找的市(q,返回 或 Q,退出):').strip()
      if city in menu[province]:
        while q_flag and Q_flag:
          for i in menu[province][city]:
            print(i)
          county = input('请输入要查找的区或县(q,返回 或 Q,退出):').strip()
          if county in menu[province][city]:
            while q_flag and Q_flag:
              for i in menu[province][city][county]:
                print(i)
              # 提示最后一页,输入格式
              choice = input('最后一页! q,返回 或 Q,退出:').strip()
              if choice == 'q':
                # 配合 else: q_flag = True 退出该层循环,返回上层循环
                q_flag = False
              elif choice == 'Q':
                # 退出大循环
                Q_flag = False
              else:
                # 提示输入不合法
                print('输入错误!')
            # 改回 q_flag 的值,实现只退出一层循环
            else:
              q_flag = True
          elif county == 'q':
            q_flag = False
          elif county == 'Q':
            Q_flag = False
          else:
            print('输入错误!')
        else:
          q_flag = True
      elif city == 'q':
        q_flag = False
      elif city == 'Q':
        Q_flag = False
      else:
        print('输入错误!')
    else:
      q_flag = True
  elif province == 'Q':
    Q_flag = False
  else:
    print('输入错误!')

Version 2


# _author : Ahern Li
# @_date : 2017/9/12

menu = {
  '浙江省':{
    '杭州市':{
      '余杭区':{'中泰':{},'临平':{}},
      '西湖区':{'西湖':{},'留下':{}}
      },
    '温州市':{
      '苍南县':{'灵溪':{},'龙港':{}},
      '瑞安县':{'安阳':{},'锦湖':{}}
      }
    },
  '广东省':{
    '广州市':{
      '越秀区':{'人民路':{},'北京路':{}},
      '荔湾区':{'沙面':{},'龙津':{}}
      },
    '珠海市':{
      '香洲区':{'拱北':{},'吉大':{}},
      '金湾区':{'红旗镇':{},'平沙镇':{}}
      }
    }
  }

current_layer = menu  # 实现动态循环
parent_layer = []  # 保留所有父层,最后一个元素永远为父层

while True:
  print() # 仅为了打印美观
  for i in current_layer:   # 遍历打印地址
    print(i)
  choice = input('请在下方输入查询地址\n>>>:').strip()
  if choice in current_layer:
    if current_layer[choice]:  # 判断是否为末层
      parent_layer.append(current_layer) # 进入子层前,添加当前层作为父层
      current_layer = current_layer[choice]  # 修改子层
    else:
      print('当前是最后一页')
  elif choice == '':
    continue
  elif choice == 'q':   # 返回上层
    if parent_layer:  # 判断 parent_layer 是否为空
      current_layer = parent_layer.pop() # 取出当前层父层
  # 退出循环
  elif choice == 'Q':
    break
  else:
    print('输入错误!')

The above is the detailed content of Detailed explanation of Python three-level menu examples. For more information, please follow other related articles on the PHP Chinese website!

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
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

Atom editor mac version download

Atom editor mac version download

The most popular open source editor

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.