Anaconda虚拟环境管理（命令行）

当前Anaconda版本为2021.5。

Anaconda可以看做是pip和virtualenv的结合体，既可以进行包管理，还可以进行虚拟环境管理。Anaconda安装成功后会自动创建一个base虚拟环境并安装默认包。

通过Anaconda Navigator可以以可视化界面创建、复制、删除等操作。

下面简要说明如何通过conda命令管理虚拟环境。

查看虚拟环境列表

conda env list、conda info -e和conda info --env命令可查看虚拟环境列表。

(base) C:\Users\Administrator>conda env list
# conda environments:
#
base                  *  C:\ProgramData\Anaconda3(base) C:\Users\Administrator>conda info -e
# conda environments:
#
base                  *  C:\ProgramData\Anaconda3(base) C:\Users\Administrator>conda info --env
# conda environments:
#
base                  *  C:\ProgramData\Anaconda3

创建虚拟环境

创建虚拟环境主要通过conda create命令，其参数有两种主要选择：

-n参数指定虚拟环境名称，环境目录位于C:\ProgramData\Anaconda3\envs，目录名为环境名称。
-p参数指定虚拟环境的目录路径，环境名称为空。

上述两个参数不能同时出现。

例如：conda create -n study -y python=3.6 numpy命令中， -n study说明虚拟环境名称为study，-y参数说明不再询问是否确认，python=3.6参数说明指定使用python3.6解释器，numpy说明预装numpy包。

(base) C:\Users\Administrator>conda create -n study -y python=3.6 numpy
Collecting package metadata (current_repodata.json): done
Solving environment: done## Package Plan ##environment location: C:\ProgramData\Anaconda3\envs\studyadded / updated specs:- numpy- python=3.6The following NEW packages will be INSTALLED:blas               anaconda/pkgs/main/win-64::blas-1.0-mklcertifi            anaconda/pkgs/main/win-64::certifi-2021.5.30-py36haa95532_0icc_rt             anaconda/pkgs/main/win-64::icc_rt-2019.0.0-h0cc432a_1intel-openmp       anaconda/pkgs/main/win-64::intel-openmp-2021.3.0-haa95532_3372mkl                anaconda/pkgs/main/win-64::mkl-2019.4-245mkl-service        anaconda/pkgs/main/win-64::mkl-service-2.3.0-py36h196d8e1_0mkl_fft            anaconda/pkgs/main/win-64::mkl_fft-1.3.0-py36h46781fe_0mkl_random         anaconda/pkgs/r/win-64::mkl_random-1.0.4-py36h343c172_0numpy              anaconda/pkgs/r/win-64::numpy-1.17.0-py36h19fb1c0_0numpy-base         anaconda/pkgs/r/win-64::numpy-base-1.17.0-py36hc3f5095_0pip                anaconda/pkgs/main/win-64::pip-21.0.1-py36haa95532_0python             anaconda/pkgs/main/win-64::python-3.6.13-h3758d61_0setuptools         anaconda/pkgs/main/win-64::setuptools-52.0.0-py36haa95532_0six                anaconda/pkgs/main/noarch::six-1.16.0-pyhd3eb1b0_0sqlite             anaconda/pkgs/main/win-64::sqlite-3.36.0-h2bbff1b_0vc                 anaconda/pkgs/main/win-64::vc-14.2-h21ff451_1vs2015_runtime     anaconda/pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2wheel              anaconda/pkgs/main/noarch::wheel-0.37.0-pyhd3eb1b0_0wincertstore       anaconda/pkgs/main/win-64::wincertstore-0.2-py36h7fe50ca_0
conda create -p d:\study python=3.6

例如：conda create -p d:\study python=3.6命令中， -p d:\study说明虚拟环境的目录路径为d:\study，python=3.6参数说明指定使用python3.6解释器。

(base) C:\Users\Administrator>conda create -p d:\study python=3.6
Collecting package metadata (current_repodata.json): done
Solving environment: done## Package Plan ##environment location: d:\studyadded / updated specs:- python=3.6The following NEW packages will be INSTALLED:certifi            anaconda/pkgs/main/win-64::certifi-2021.5.30-py36haa95532_0pip                anaconda/pkgs/main/win-64::pip-21.0.1-py36haa95532_0python             anaconda/pkgs/main/win-64::python-3.6.13-h3758d61_0setuptools         anaconda/pkgs/main/win-64::setuptools-52.0.0-py36haa95532_0sqlite             anaconda/pkgs/main/win-64::sqlite-3.36.0-h2bbff1b_0vc                 anaconda/pkgs/main/win-64::vc-14.2-h21ff451_1vs2015_runtime     anaconda/pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2wheel              anaconda/pkgs/main/noarch::wheel-0.37.0-pyhd3eb1b0_0wincertstore       anaconda/pkgs/main/win-64::wincertstore-0.2-py36h7fe50ca_0Proceed ([y]/n)?

列出所有虚拟环境验证。

(base) C:\Users\Administrator>conda env list
# conda environments:
#
base                  *  C:\ProgramData\Anaconda3
study1                   C:\ProgramData\Anaconda3\envs\studyd:\study

确认当前虚拟环境

Anaconda命令行的命令提示符即表示了当前的虚拟环境。例如(base) C:\Users\Administrator>说明当前虚拟环境为base。
虚拟环境列表中带*的说明即当前虚拟环境。

(base) C:\Users\Administrator>conda env list
# conda environments:
#
base                  *  C:\ProgramData\Anaconda3
study1                   C:\ProgramData\Anaconda3\envs\studyd:\study

查看配置信息命令conda info也可显示当前虚拟环境。

(base) PS C:\Users\Administrator> conda infoactive environment : baseactive env location : C:\ProgramData\Anaconda3shell level : 1user config file : C:\Users\Administrator\.condarcpopulated config files : C:\Users\Administrator\.condarc

激活/切换虚拟环境

激活使用名称定义的虚拟环境的命令格式为conda activate 名称。

(base) C:\Users\Administrator>conda activate study(study) C:\Users\Administrator>

激活使用路径定义的虚拟环境的命令格式为conda activate 路径。

(study) C:\Users\Administrator>conda activate d:\study(d:\study) C:\Users\Administrator>

退出虚拟环境

conda deactivate可退出当前虚拟环境。
注意：退出当前虚拟环境退至上一次激活的虚拟环境。

(d:\study) C:\Users\Administrator>conda deactivate(study) C:\Users\Administrator>conda deactivate(base) C:\Users\Administrator>

复制虚拟环境

复制虚拟环境使用如下命令格式：conda create -n 新环境名字 --clone 旧环境名字。

(base) C:\Users\Administrator>conda create -n study2 --clone study
Source:      C:\ProgramData\Anaconda3\envs\study
Destination: C:\ProgramData\Anaconda3\envs\study2
Packages: 19
Files: 0
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate study2
#
# To deactivate an active environment, use
#
#     $ conda deactivate

(base) PS C:\Users\Administrator> conda env list
# conda environments:
#
base                  *  C:\ProgramData\Anaconda3
study                    C:\ProgramData\Anaconda3\envs\study
study2                   C:\ProgramData\Anaconda3\envs\study2d:\study

删除虚拟环境

删除虚拟环境的命令格式为conda remove -n 虚拟环境名称 --all。
注意！当前虚拟环境不能删除，必须退出之后再删除。

(study2) C:\Users\Administrator>conda remove -n study2 --allCondaEnvironmentError: cannot remove current environment. deactivate and run conda remove again

(base) C:\Users\Administrator>conda remove -n study2 --allRemove all packages in environment C:\ProgramData\Anaconda3\envs\study2:## Package Plan ##environment location: C:\ProgramData\Anaconda3\envs\study2The following packages will be REMOVED:blas-1.0-mklcertifi-2021.5.30-py36haa95532_0icc_rt-2019.0.0-h0cc432a_1intel-openmp-2021.3.0-haa95532_3372mkl-2019.4-245mkl-service-2.3.0-py36h196d8e1_0mkl_fft-1.3.0-py36h46781fe_0mkl_random-1.0.4-py36h343c172_0numpy-1.17.0-py36h19fb1c0_0numpy-base-1.17.0-py36hc3f5095_0pip-21.0.1-py36haa95532_0python-3.6.13-h3758d61_0setuptools-52.0.0-py36haa95532_0six-1.16.0-pyhd3eb1b0_0sqlite-3.36.0-h2bbff1b_0vc-14.2-h21ff451_1vs2015_runtime-14.27.29016-h5e58377_2wheel-0.37.0-pyhd3eb1b0_0wincertstore-0.2-py36h7fe50ca_0Proceed ([y]/n)?y
Preparing transaction: done
Verifying transaction: done
Executing transaction: done

(base) C:\Users\Administrator>conda env list
# conda environments:
#
base                  *  C:\ProgramData\Anaconda3
study                    C:\ProgramData\Anaconda3\envs\studyd:\study

导出当前虚拟环境

导出当前虚拟环境的命令格式为conda env export --file 文件名.yaml。
注意！文件名与环境名无关。

(study) C:\Users\Administrator> conda env export --file study3.yaml(study) C:\Users\Administrator>

study3.yaml的文件内容为：

name: study
channels:- defaults
dependencies:- blas=1.0=mkl- certifi=2021.5.30=py36haa95532_0- icc_rt=2019.0.0=h0cc432a_1- intel-openmp=2021.3.0=haa95532_3372- mkl=2019.4=245- mkl-service=2.3.0=py36h196d8e1_0- mkl_fft=1.3.0=py36h46781fe_0- mkl_random=1.0.4=py36h343c172_0- numpy=1.17.0=py36h19fb1c0_0- numpy-base=1.17.0=py36hc3f5095_0- pip=21.0.1=py36haa95532_0- python=3.6.13=h3758d61_0- setuptools=52.0.0=py36haa95532_0- six=1.16.0=pyhd3eb1b0_0- sqlite=3.36.0=h2bbff1b_0- vc=14.2=h21ff451_1- vs2015_runtime=14.27.29016=h5e58377_2- wheel=0.37.0=pyhd3eb1b0_0- wincertstore=0.2=py36h7fe50ca_0
prefix: C:\ProgramData\Anaconda3\envs\study

还原导出的虚拟环境

还原导出的虚拟环境的命令格式为：conda env create -f 文件名

还原时，不能存在与原环境重复的环境

(study) C:\Users\Administrator>conda env create -f ./study3.yamlCondaValueError: prefix already exists: C:\ProgramData\Anaconda3\envs\study

删除本机study环境重新执行命令。

(base) C:\Users\Administrator>conda env create -f ./study3.yaml
Collecting package metadata (repodata.json): done
Solving environment: done
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate study
#
# To deactivate an active environment, use
#
#     $ conda deactivate