https://github.com/touero/pond-loach
Python爬取分析2021年世界五百强的WebApp
https://github.com/touero/pond-loach
html jupyter-notebook pyecharts python pywebio scraping
Last synced: about 1 month ago
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Python爬取分析2021年世界五百强的WebApp
- Host: GitHub
- URL: https://github.com/touero/pond-loach
- Owner: touero
- License: mit
- Created: 2023-04-01T02:06:26.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2024-12-24T07:42:49.000Z (5 months ago)
- Last Synced: 2025-03-25T21:11:42.738Z (about 2 months ago)
- Topics: html, jupyter-notebook, pyecharts, python, pywebio, scraping
- Language: HTML
- Homepage:
- Size: 14.9 MB
- Stars: 4
- Watchers: 1
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
pond-loach
## 仓库介绍
爬取财富网下的2021年世界五百强并作图分析, 对不同经济实力的对比
## 安装
这个项目使用[Python](https://www.python.org/) [Git](https://git-scm.com/) 请确保你本地安装了它们。
```shell
$ git clone https://github.com/weiensong/Fortune500.git
```
下载你本地[chrome](chrome://version/)浏览器对应版本的[chromedriver](https://googlechromelabs.github.io/chrome-for-testing/known-good-versions-with-downloads.json)
## 运行
### 创建虚拟环境并激活
```shell
python -m venv venv && source venv/bin/activate
```
### 安装依赖
```shell
pip install -r requriements.txt
```
### 爬取
```shell
python crawler.py
```
### 作图并生成html
```shell
python analyze.py
```
## 相关仓库
- [python](https://github.com/TheAlgorithms/Python) — All Algorithms implemented in Python
- [Selenium](https://github.com/SeleniumHQ/selenium) — A browser automation framework and ecosystem
- [PyWebIO](https://github.com/pywebio/PyWebIO) — Write interactive web app in script way
- [pyecharts](https://github.com/pyecharts/pyecharts) — 人人可用的开源数据可视化分析工具
## 相关链接
- [财富中文网](https://www.fortunechina.com/fortune500/c/2021-08/02/content_394571.htm)
## 维护者
[@touero](https://github.com/touero)
## 如何贡献
非常欢迎你的加入！[提一个 Issue](https://github.com/weiensong/Fortune500/issues) 或者提交一个 Pull Request。
标准 Python 遵循 [Python PEP-8](https://peps.python.org/pep-0008/) 行为规范。
### 贡献者
感谢参与项目的所有人
## 使用许可
[MIT](https://github.com/weiensong/pond-loach) © weiensong