shelve
shelve is a simple data storage solution. It has only one function: open (), this function receives a parameter which is the file name, and then returns a shelf object. You can use it to store things, or simply treat it as a dictionary. When you are finished storing, call the close function to close it.
There is a potential small problem with this, as follows:
[python] view plain copy >>> import shelve >>> s = shelve.open('test.dat') >>> s['x'] = ['a', 'b', 'c'] >>> s['x'].append('d') >>> s['x'] ['a', 'b', 'c']
Where does the stored d go? In fact, it is very simple. d does not write back. You save ['a', 'b', 'c'] to x. When you read s['x'] again, s['x'] is just a Copy, and you did not write the copy back, so when you read s['x'] again, it read a copy from the source, so your newly modified content will not appear in the copy. , the solution is, the first one is to use a cached variable, as shown below
[python] view plain copy >>> temp = s['x'] >>> temp.append('d') >>> s['x'] = temp >>> s['x'] ['a', 'b', 'c', 'd']
There is another method in python2.4, which is to assign the value of the writeback parameter of the open method to True. In this case, all the content after you open it will be in the cache, and when you close it, everything will be written to the hard disk at once. This is recommended if the amount of data is not very large.
1. Introduction
In python3, we use json or pickle to persist data. It can be dumped multiple times, but can only be loaded once. Because the previous data has been overwritten by the subsequent dump data. If we want to implement dump and load multiple times, we can use the shelve module. The shelve module can persist all data types supported by pickle.
2. Persistent data
1. Data persistence
import shelve import datetime info = {'name': 'bigberg', 'age': 22} name = ['Apoll', 'Zous', 'Luna'] t = datetime.datetime.now() with shelve.open('shelve.txt') as f: f['name'] = name # 持久化列表 f['info'] = info # 持久化字典 f['time'] = t # 持久化时间类型
After executing the code, 3 files will be generated: shelve.txt.bak, shelve.txt.dat, shelve.txt.dir.
#shelve.txt.bak Content
'info', (512, 45) 'name', (0, 42) 'time', (1024, 44)
- ##shelve.txt.dat
�]q (X ApollqX ZousqX Lunaqe. �}q (X ageqKX nameqX bigbergqu. �cdatetime datetime q C �" 2�q�qRq.
- Contents of shelve.txt.dir
'info', (512, 45) 'name', (0, 42) 'time', (1024, 44)
2. Data reading
We use get to obtain dataimport shelve with shelve.open('shelve.txt') as f: n = f.get('name') i = f.get('info') now = f.get('time') print(n) print(i) print(now) #输出 ['Apoll', 'Zous', 'Luna'] {'age': 22, 'name': 'bigberg'} 2017-07-08 11:07:34.865022
1. The shelve module is a simple key, value A module that persists memory data through files.
2. The shelve module can persist any python data format supported by pickle.
3. Shelve is a package of the pickle module.
4. The shelve module can dump and load multiple times.
The above is the detailed content of Basic introduction to shelve module. For more information, please follow other related articles on the PHP Chinese website!

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.

Python is suitable for rapid development and data processing, while C is suitable for high performance and underlying control. 1) Python is easy to use, with concise syntax, and is suitable for data science and web development. 2) C has high performance and accurate control, and is often used in gaming and system programming.

The time required to learn Python varies from person to person, mainly influenced by previous programming experience, learning motivation, learning resources and methods, and learning rhythm. Set realistic learning goals and learn best through practical projects.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.


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

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

Zend Studio 13.0.1
Powerful PHP integrated development environment

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Dreamweaver CS6
Visual web development tools