Jupyter Notebook配置多个kernel

梦里梦外; 2022-12-26 08:23 196阅读 0赞

对于用anaconda管理python环境的小伙伴，如果你要给某个环境下的jupyter notebook配置多个kernel，那么可以参考下面这篇博客

### 目录 ###

*  添加kernel
 *  删除kernel

# 添加kernel #

假设往base环境下的jupyter中添加kernel  
step 1: 按下win + R，输入cmd，点击确定  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM4MDQ4NzU2_size_16_color_FFFFFF_t_70]  
step 2 : 创建虚拟环境，输入conda create -n pytest python=3.7.6 ，创建python版本号为3.7.6的虚拟环境，一路‘y’，知道安装好。如果你之前已经建好了虚拟环境，那么直接跳到step 3  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM4MDQ4NzU2_size_16_color_FFFFFF_t_70 1]

step 3：输入activate pytest 激活并进入虚拟环境，输入  
`pip3 install ipykernel -i https://pypi.tuna.tsinghua.edu.cn/simple/`安装kernal，此处利用了镜像源安装，对镜像源不了解的可以看我的这篇博客[一招搞定anaconda][anaconda]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM4MDQ4NzU2_size_16_color_FFFFFF_t_70 2]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM4MDQ4NzU2_size_16_color_FFFFFF_t_70 3]  
step 4：输入`conda deactivete` 退出虚拟环境，进入到base环境，或者直接打开anaconda的prompt  
![在这里插入图片描述][20201228215357751.png]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM4MDQ4NzU2_size_16_color_FFFFFF_t_70 4]

step 5： 进入base环境后，输入`python -m ipykernel install --user --name 要添加的环境 --display-name "jupyter中显示的kernel名字"`  
![在这里插入图片描述][20201228215650575.png]  
step 6 : 输入jupyter notebook打开jupyter notebook，发现已经添加成功  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM4MDQ4NzU2_size_16_color_FFFFFF_t_70 5]

# 删除kernel #

step 1：输入jupyter kenelspec list 查看当前的kernel  
![在这里插入图片描述][20201228221438213.png]  
step 2：输入`jupyter kernelspec remove 要删除的kernel`删除名为pytest的kernel  
![在这里插入图片描述][20201228221651312.png]  
此时再查看当前的kernel list，可以看出已经删除  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM4MDQ4NzU2_size_16_color_FFFFFF_t_70 6]

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[anaconda]: https://blog.csdn.net/qq_38048756/article/details/108329938
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[20201228215357751.png]: https://img-blog.csdnimg.cn/20201228215357751.png
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[20201228215650575.png]: https://img-blog.csdnimg.cn/20201228215650575.png
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[20201228221438213.png]: https://img-blog.csdnimg.cn/20201228221438213.png
[20201228221651312.png]: https://img-blog.csdnimg.cn/20201228221651312.png
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