jupyter notebook配置虚拟环境

查看 anaconda3 安装了哪些虚拟环境

conda env list 或 conda info -e 确认当前存在什么虚拟环境。

 [rin]# conda env list
# conda environments:
#
                         /home/ji/software/Anaconda/
base                  *  /home/software/anaconda3
py38                     /home/software/anaconda3/envs/py38
                         /home/sg/anaconda3
                         /home/sg/anaconda3/envs/LncDeep
                         /home/sg/anaconda3/envs/NCResNetEnv
                         /home/sg/anaconda3/envs/PLEK2
                         /home/sg/anaconda3/envs/py385
                         /home/sg/anaconda3/envs/py385_2110
                         /home/sg/anaconda3/envs/tens
                         /home/user01/anaconda3/envs/RL

创建 anaconda3  虚拟环境

cd /home/sqxiong/anaconda3/bin

conda create -n decode python=3.8.5

 

# To activate this environment, use
#
#     $ conda activate decode
#
# To deactivate an active environment, use
#
#     $ conda deactivate

删除移除 anaconda3  虚拟环境

# 第一步：首先退出环境
conda deactivate
 
# 第二步：查看虚拟环境列表，此时出现列表的同时还会显示其所在路径
conda env list
 
# 第三步：删除环境
conda env remove -p 要删除的虚拟环境路径
conda env remove -p /home/software/anaconda3/envs/decode

 

 

在特定虚拟环境下安装包

conda create -n mydlenv python=3.8.5
#
# To activate this environment, use
#
#     $ conda activate mydlenv
#
# To deactivate an active environment, use
#
#     $ conda deactivate

conda activate mydlenv  ## 激活虚拟环境

which pip # 查看pip
/home/software/anaconda3/envs/mydlenv/bin/pip
安装包

# pip install wget

conda install -n your_env_name [package]对虚拟环境中安装额外的包

 

查看包的安装位置

# find ./ -name *wget*
./lib/python3.8/site-packages/wget.py
./lib/python3.8/site-packages/wget-3.2.dist-info
./lib/python3.8/site-packages/__pycache__/wget.cpython-38.pyc

/home/software/anaconda3/envs/mydlenv/lib/python3.8/site-packages

 

为jupyter notebook配置虚拟环境

 

新安装好的虚拟环境，只有一个自带python3

 

 

 

 

 

查看Jupyter Notebook 当前运行的虚拟环境

import os, sys
print(sys.executable) #
print(sys.version)
print(sys.version_info)

 

# which jupyter
/home/user01/anaconda3/bin/jupyter

# jupyter kernelspec list
Available kernels:
  python3    /home/user01/anaconda3/share/jupyter/kernels/python3

为了让Jupyter Notebook支持虚拟运行环境，需要在Anaconda里安装一个插件。
1）退出目前正在运行的Jupyter Notebook Server，然后执行：
2）conda install nb_conda  ### 必须
3）再重新开启Jupyter Notebook

 

 

激活虚拟环境 mydlenv 之后做以下操作：

### 必须
# pip install ipykernel ipython ### 必须
# python -m ipykernel install --user --name mydlenv --display-name "mydlenv"  ### 必须

重启

(mydlenv) [n]# nohup /home/software/anaconda3/bin/jupyter notebook --allow-root --notebook-dir='/data/pigenhancer/' --ip 0.0.0.0 > /home/software/anaconda3/bin/jupyter.log 2>&1

重启 浏览器。

 

 

 

 

envs/mydlenv/bin

 

 

 

(mydlenv) []# pwd
/home/software/anaconda3/envs/mydlenv/bin
(mydlenv) ]# which python
/home/software/anaconda3/envs/mydlenv/bin/python
(mydlenv) []# nohup python -m jupyter notebook --allow-root --notebook-dir='/data/pigenhancer/' --ip 0.0.0.0 > /home/software/anaconda3/bin/jupyter.log 2>&1
(mydlenv) []# more /home/software/anaconda3/bin/jupyter.log
nohup: 忽略输入
/home/software/anaconda3/envs/mydlenv/bin/python: No module named jupyter

把已经添加成功的虚拟环境删除，可以先激活想要删除的虚拟环境，
然后输入：
jupyter kernelspec remove 虚拟环境名称

 

import os, sys
print(sys.executable) #
print(sys.version)
print(sys.version_info)

 

REF

http://www.manongjc.com/detail/51-aovrpyptycuxsqv.html

https://zhuanlan.zhihu.com/p/409063952