# 项目说明[PyGWalker](https://github.com/Kanaries/pygwalker)是个在Jupyter Notebook环境中运行的DataFrame探索式分析工具，仅一条命令即可生成一个可交互的图形界面，以类似Tableau/PowerBI的方式，通过拖拽字段进行数据分析。**项目地址**：https://github.com/Kanaries/pygwalker或直接在[Google Colab](https://colab.research.google.com/drive/171QUQeq-uTLgSj1u-P9DQig7Md1kpXQ2?usp=sharing), [Kaggle Code](https://www.kaggle.com/asmdef/pygwalker-test)或者[](https://mybinder.org/v2/gh/Kanaries/pygwalker/main?labpath=tests%2Fmain.ipynb)上试用。如果你有一个pandas DataFrame，那么你只需```python!pip install pygwalkerimport pygwalker as pygpyg.walk(df)```即可开始数据探索：[](https://github.com/Kanaries/pygwalker)[](https://github.com/Kanaries/pygwalker)[](https://github.com/Kanaries/pygwalker)[](https://github.com/Kanaries/pygwalker)[](https://github.com/Kanaries/pygwalker)# 已测试的环境- [x] Jupyter Notebook- [x] Jupyter Lite- [x] Google Colab- [x] Kaggle Code- [x] Jupyter Lab (WIP: 仍然存在一些关于react-beautiful-dnd的CSS bug)- [x] Databricks Notebook (自`0.1.4a0`版本后支持)- [x] VSCode中的Jupyter扩展 (自`0.1.4a1`版本后支持)- [x] Hex Project- [x] 大多数支持IPython Kernel的在线Notebook平台- [ ] 更多运行环境欢迎补充**项目地址**：https://github.com/Kanaries/pygwalker