服务器linux里anaconda里移除已装conda环境或window下anaconda移除conda环境（pytorch、tensorflow、labelimg等）

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我是靠谱客的博主默默电灯胆，最近开发中收集的这篇文章主要介绍服务器linux里anaconda里移除已装conda环境或window下anaconda移除conda环境（pytorch、tensorflow、labelimg等），觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

这两种都是差不多的，不管是在linux里Ubuntu系统下终端，还是在Anaconda Prompt命令窗口下截图如下
在这里插入图片描述

在这里插入图片描述
以下两种命令行代码输入一致

1.conda info -e （查看所有的虚拟环境）显示如下

(base) C:UsersAdministrator>conda info -e
# conda environments:
#
base                  *  D:Anaconda
pytorch1.2               D:Anacondaenvspytorch1.2
pytorch36                D:Anacondaenvspytorch36
pytorch38                D:Anacondaenvspytorch38
tensorflow               D:Anacondaenvstensorflow
labelimg                 D:Anacondaenvslabelimg

2.删除虚拟环境，这里以删除pytorch36环境为例

conda remove -n pytorch36 --all%%假设你的环境名字叫: pytorch36

(base) C:UsersAdministrator>conda remove -n pytorch36 --all

Remove all packages in environment D:Anacondaenvspytorch36:


## Package Plan ##

  environment location: D:Anacondaenvspytorch36


The following packages will be REMOVED:

    blas:            1.0-mkl                  defaults
    ca-certificates: 2022.10.11-haa95532_0    defaults
    certifi:         2021.5.30-py36haa95532_0 defaults
    colorama:        0.4.4-pyhd3eb1b0_0       defaults
    cycler:          0.11.0-pyhd3eb1b0_0      defaults
    freetype:        2.12.1-ha860e81_0        defaults
    icu:             58.2-ha925a31_3          defaults
    intel-openmp:    2022.1.0-h59b6b97_3788   defaults
    jpeg:            9e-h2bbff1b_0            defaults
    kiwisolver:      1.3.1-py36hd77b12b_0     defaults
    lerc:            3.0-hd77b12b_0           defaults
    libdeflate:      1.8-h2bbff1b_5           defaults
    libpng:          1.6.37-h2a8f88b_0        defaults
    libtiff:         4.4.0-h8a3f274_0         defaults
    libwebp:         1.2.4-h2bbff1b_0         defaults
    libwebp-base:    1.2.4-h2bbff1b_0         defaults
    lz4-c:           1.9.3-h2bbff1b_1         defaults
    matplotlib:      3.3.4-py36haa95532_0     defaults
    matplotlib-base: 3.3.4-py36h49ac443_0     defaults
    mkl:             2020.2-256               defaults
    mkl-service:     2.3.0-py36h196d8e1_0     defaults
    mkl_fft:         1.3.0-py36h46781fe_0     defaults
    mkl_random:      1.1.1-py36h47e9c7a_0     defaults
    numpy:           1.19.2-py36hadc3359_0    defaults
    numpy-base:      1.19.2-py36ha3acd2a_0    defaults
    olefile:         0.46-pyhd3eb1b0_0        defaults
    openssl:         1.1.1q-h2bbff1b_0        defaults
    pillow:          8.3.1-py36h8f6046a_0     defaults
    pip:             21.2.2-py36haa95532_0    defaults
    pyparsing:       3.0.4-pyhd3eb1b0_0       defaults
    pyqt:            5.9.2-py36h6538335_2     defaults
    python:          3.6.13-h3758d61_0        defaults
    python-dateutil: 2.8.2-pyhd3eb1b0_0       defaults
    qt:              5.9.7-vc14h73c81de_0     defaults
    setuptools:      58.0.4-py36haa95532_0    defaults
    sip:             4.19.8-py36h6538335_0    defaults
    six:             1.16.0-pyhd3eb1b0_1      defaults
    sqlite:          3.39.3-h2bbff1b_0        defaults
    tk:              8.6.12-h2bbff1b_0        defaults
    tornado:         6.1-py36h2bbff1b_0       defaults
    tqdm:            4.63.0-pyhd3eb1b0_0      defaults
    vc:              14.2-h21ff451_1          defaults
    vs2015_runtime:  14.27.29016-h5e58377_2   defaults
    wheel:           0.37.1-pyhd3eb1b0_0      defaults
    wincertstore:    0.2-py36h7fe50ca_0       defaults
    xz:              5.2.6-h8cc25b3_0         defaults
    zlib:            1.2.13-h8cc25b3_0        defaults
    zstd:            1.5.2-h19a0ad4_0         defaults

Proceed ([y]/n)? y

(base) C:UsersAdministrator>