Use open source visualization tools to understand your Python code

osc_ 10loka5t 2020-11-15 14:04:50
use open source visualization tools


VizTracer Tools can visualize and track Python Code , Let you have a deeper understanding of how it works .

With Python Projects are getting bigger and bigger 、 More complicated , It's challenging to understand it . Even if you wrote the whole project yourself , It's impossible to know exactly how a project works . In order to understand your code better , Debugging and analyzing code becomes critical .

VizTracer  It's a tool like this , It's through tracking and Visualization Python Code execution process , To help you understand the code . There is no need to make any changes to the source code ,VizTracer You can record the entry of the function / exit , Function parameter / Return value and any variable , And then through  Trace-Viewer  Use an intuitive Google front-end interface to display data .

Here's a run Monte carlo tree search Example :

Monte Carlo tree search visualization

The time and time of each function are recorded on the stack , So you can see what happens when you run the program . You can zoom in to see the details of any particular point :

Zooming in on VizTracer visualization

VizTracer You can also automatically record function parameters and return values . You can click on the function entry and see the details :

Viewing VizTracer details

Or you can create a whole new signal , And use it to record variables . for example , This shows the cost value when performing gradient descent :

VizTracer gradient descent

Compared with other tools with complex settings ,VizTracer It's very simple to use , And there's no dependency . You can start your pip Install it :

pip install viztracer

You can also track your program by typing (<your_script.py>  It's the name of your script ):

viztracer <your_script.py>

VizTracer A... Will be generated in your working directory HTML The report , You can Chrome Open it in the browser .

VizTracer There are other advanced features , For example, the filter function , You can use it to filter out functions you don't want to track , Get a clearer report . for example , To include only the functions in the file , You need :

viztracer include_files ./ --run <your_script.py>

Record function parameters and return values :

viztracer --log_function_args --log_return_value <your_script.py>

Record any variable that matches a regular expression :

# log variables starts with a
viztracer --log_var a.* --run &lt;your_script.py&gt;

You can get other functions by making minor changes to the source code , For example, custom events are used to record values and objects .

VizTracer It also includes a virtual debugger (vdb), It can debug VizTracer Log file . It can be used vdb Debug your running code ( And  pdb  Very similar ) So that you can understand the code flow . What's useful is , It also supports time backtracking , Because it knows what happened .

It's different from some prototypes ,VizTracer Use pure C Language realizes its core , This will greatly reduce the cost , Make it similar to  cProfile  The level of .

VizTracer It's open source. , stay Apache 2.0 Release under license , Supports all common operating system platforms (Linux、macOS and Windows). You can  GitHub  Learn more about its features and access the source code .


via: https://opensource.com/article/20/11/python-code-viztracer

author :Tian Gao  Topic selection :lujun9972  translator :xiao-song-123  proofreading :wxy

This paper is written by  LCTT  Original compilation ,Linux China   Honor roll out



版权声明
本文为[osc_ 10loka5t]所创,转载请带上原文链接,感谢

  1. 利用Python爬虫获取招聘网站职位信息
  2. Using Python crawler to obtain job information of recruitment website
  3. Several highly rated Python libraries arrow, jsonpath, psutil and tenacity are recommended
  4. Python装饰器
  5. Python实现LDAP认证
  6. Python decorator
  7. Implementing LDAP authentication with Python
  8. Vscode configures Python development environment!
  9. In Python, how dare you say you can't log module? ️
  10. 我收藏的有关Python的电子书和资料
  11. python 中 lambda的一些tips
  12. python中字典的一些tips
  13. python 用生成器生成斐波那契数列
  14. python脚本转pyc踩了个坑。。。
  15. My collection of e-books and materials about Python
  16. Some tips of lambda in Python
  17. Some tips of dictionary in Python
  18. Using Python generator to generate Fibonacci sequence
  19. The conversion of Python script to PyC stepped on a pit...
  20. Python游戏开发,pygame模块,Python实现扫雷小游戏
  21. Python game development, pyGame module, python implementation of minesweeping games
  22. Python实用工具,email模块,Python实现邮件远程控制自己电脑
  23. Python utility, email module, python realizes mail remote control of its own computer
  24. 毫无头绪的自学Python,你可能连门槛都摸不到!【最佳学习路线】
  25. Python读取二进制文件代码方法解析
  26. Python字典的实现原理
  27. Without a clue, you may not even touch the threshold【 Best learning route]
  28. Parsing method of Python reading binary file code
  29. Implementation principle of Python dictionary
  30. You must know the function of pandas to parse JSON data - JSON_ normalize()
  31. Python实用案例,私人定制,Python自动化生成爱豆专属2021日历
  32. Python practical case, private customization, python automatic generation of Adu exclusive 2021 calendar
  33. 《Python实例》震惊了,用Python这么简单实现了聊天系统的脏话,广告检测
  34. "Python instance" was shocked and realized the dirty words and advertisement detection of the chat system in Python
  35. Convolutional neural network processing sequence for Python deep learning
  36. Python data structure and algorithm (1) -- enum type enum
  37. 超全大厂算法岗百问百答(推荐系统/机器学习/深度学习/C++/Spark/python)
  38. 【Python进阶】你真的明白NumPy中的ndarray吗?
  39. All questions and answers for algorithm posts of super large factories (recommended system / machine learning / deep learning / C + + / spark / Python)
  40. [advanced Python] do you really understand ndarray in numpy?
  41. 【Python进阶】Python进阶专栏栏主自述:不忘初心,砥砺前行
  42. [advanced Python] Python advanced column main readme: never forget the original intention and forge ahead
  43. python垃圾回收和缓存管理
  44. java调用Python程序
  45. java调用Python程序
  46. Python常用函数有哪些?Python基础入门课程
  47. Python garbage collection and cache management
  48. Java calling Python program
  49. Java calling Python program
  50. What functions are commonly used in Python? Introduction to Python Basics
  51. Python basic knowledge
  52. Anaconda5.2 安装 Python 库(MySQLdb)的方法
  53. Python实现对脑电数据情绪分析
  54. Anaconda 5.2 method of installing Python Library (mysqldb)
  55. Python implements emotion analysis of EEG data
  56. Master some advanced usage of Python in 30 seconds, which makes others envy it
  57. python爬取百度图片并对图片做一系列处理
  58. Python crawls Baidu pictures and does a series of processing on them
  59. python链接mysql数据库
  60. Python link MySQL database