Anaconda下的pkgs占用空间13G，如何安全的清理（已解决）
方法一：让Anaconda自行决定清理
执行命令
conda clean -p我的Anaconda安装在D盘，具体位置如下。你的应该也能找到对应的位置
D:*******Anaconda3pkgs
(base) C:UsersLiu_J>conda clean -p
WARNING: C:Users***.condapkgs does not exist
WARNING: C:Users***AppDataLocalcondacondapkgs does not exist
Cache location: D:ProgramDataAnaconda3pkgs
Will remove the following packages:
D:*******Anaconda3pkgs
-----------------------------
blas-1.0-mkl 16 KB
ca-certificates-2022.10.11-haa95532_0 454 KB
certifi-2021.5.30-py36haa95532_0 278 KB
certifi-2022.9.24-py38haa95532_0 311 KB
cffi-1.15.1-py38h2bbff1b_2 801 KB
cryptography-38.0.1-py38h21b164f_0 4.9 MB
idna-3.3-pyhd3eb1b0_0 289 KB
idna-3.4-py38haa95532_0 516 KB
libdeflate-1.8-h2bbff1b_5 206 KB
libffi-3.4.2-hd77b12b_6 801 KB
libtiff-4.4.0-h8a3f274_2 3.5 MB
libwebp-1.2.4-h2bbff1b_0 191 KB
libwebp-base-1.2.4-h2bbff1b_0 903 KB
numpy-1.22.3-py38h7a0a035_0 80 KB
numpy-1.23.4-py38h3b20f71_0 30 KB
numpy-1.26.3-py310h055cbcc_0 33 KB
numpy-base-1.23.4-py38h4da318b_0 25.9 MB
openssl-1.1.1s-h2bbff1b_0 22.3 MB
pillow-9.2.0-py38hdc2b20a_1 3.0 MB
pip-21.2.2-py36haa95532_0 9.0 MB
pip-22.2.2-py38haa95532_0 11.0 MB
python-3.6.13-h3758d61_0 59.3 MB
python-3.8.15-h6244533_2 64.4 MB
pytorch-1.12.1-py3.8_cuda11.3_cudnn8_0 293.3 MB
pytorch-mutex-1.0-cuda 7 KB
requests-2.27.1-pyhd3eb1b0_0 220 KB
requests-2.28.1-py38haa95532_0 396 KB
setuptools-58.0.4-py36haa95532_0 4.1 MB
setuptools-65.5.0-py38haa95532_0 6.3 MB
sqlite-3.40.0-h2bbff1b_0 3.8 MB
torchaudio-0.12.1-py38_cu113 9.2 MB
torchvision-0.13.1-py38_cu113 15.7 MB
typing_extensions-4.3.0-py38haa95532_0 181 KB
urllib3-1.26.12-py38haa95532_0 761 KB
vc-14.2-h21ff451_1 23 KB
wincertstore-0.2-py36h7fe50ca_0 39 KB
xz-5.2.6-h8cc25b3_0 1.1 MB
---------------------------------------------------
Total: 543.2 MB
Proceed ([y]/n)? y
removing blas-1.0-mkl
removing ca-certificates-2022.10.11-haa95532_0
removing certifi-2021.5.30-py36haa95532_0
removing certifi-2022.9.24-py38haa95532_0
removing cffi-1.15.1-py38h2bbff1b_2
removing cryptography-38.0.1-py38h21b164f_0
removing idna-3.3-pyhd3eb1b0_0
removing idna-3.4-py38haa95532_0
removing libdeflate-1.8-h2bbff1b_5
removing libffi-3.4.2-hd77b12b_6
removing libtiff-4.4.0-h8a3f274_2
removing libwebp-1.2.4-h2bbff1b_0
removing libwebp-base-1.2.4-h2bbff1b_0
removing numpy-1.22.3-py38h7a0a035_0
removing numpy-1.23.4-py38h3b20f71_0
removing numpy-1.26.3-py310h055cbcc_0
removing numpy-base-1.23.4-py38h4da318b_0
removing openssl-1.1.1s-h2bbff1b_0
removing pillow-9.2.0-py38hdc2b20a_1
removing pip-21.2.2-py36haa95532_0
removing pip-22.2.2-py38haa95532_0
removing python-3.6.13-h3758d61_0
removing python-3.8.15-h6244533_2
removing pytorch-1.12.1-py3.8_cuda11.3_cudnn8_0
removing pytorch-mutex-1.0-cuda
removing requests-2.27.1-pyhd3eb1b0_0
removing requests-2.28.1-py38haa95532_0
removing setuptools-58.0.4-py36haa95532_0
removing setuptools-65.5.0-py38haa95532_0
removing sqlite-3.40.0-h2bbff1b_0
removing torchaudio-0.12.1-py38_cu113
removing torchvision-0.13.1-py38_cu113
removing typing_extensions-4.3.0-py38haa95532_0
removing urllib3-1.26.12-py38haa95532_0
removing vc-14.2-h21ff451_1
removing wincertstore-0.2-py36h7fe50ca_0
removing xz-5.2.6-h8cc25b3_0方法二：安全的删除pkgs全部的包
这个主要是清理缓存包，不会直接影响已经创建的虚拟环境
命令如下：
conda clean --all(base) C:Us*******>conda clean --all
Cache location: D:ProgramDataAnaconda3pkgs
Will remove the following tarballs:
D:*******Anaconda3pkgs
-----------------------------
blas-1.0-mkl.conda 6 KB
brotli-python-1.0.9-py310hd77b12b_7.conda 309 KB
brotlipy-0.7.0-py38h2bbff1b_1003.conda 412 KB
bzip2-1.0.8-he774522_0.conda 113 KB
ca-certificates-2022.10.11-haa95532_0.conda 125 KB
ca-certificates-2022.4.26-haa95532_0.conda 124 KB
ca-certificates-2023.12.12-haa95532_0.conda 127 KB
certifi-2021.5.30-py36haa95532_0.conda 140 KB
certifi-2022.5.18.1-py38haa95532_0.conda 157 KB
certifi-2022.9.24-py38haa95532_0.conda 154 KB
certifi-2023.11.17-py310haa95532_0.conda 159 KB
cffi-1.15.0-py38h2bbff1b_1.conda 223 KB
cffi-1.15.1-py38h2bbff1b_2.conda 235 KB
cffi-1.16.0-py310h2bbff1b_0.conda 244 KB
charset-normalizer-2.0.4-pyhd3eb1b0_0.conda 35 KB
cryptography-37.0.1-py38h21b164f_0.conda 979 KB
cryptography-38.0.1-py38h21b164f_0.conda 992 KB
cryptography-41.0.3-py310h3438e0d_0.conda 1.1 MB
cudatoolkit-11.3.1-h59b6b97_2.conda 545.3 MB
freetype-2.10.4-hd328e21_0.conda 466 KB
freetype-2.12.1-ha860e81_0.conda 490 KB
giflib-5.2.1-h8cc25b3_3.conda 88 KB
idna-3.3-pyhd3eb1b0_0.conda 49 KB
idna-3.4-py310haa95532_0.conda 97 KB
idna-3.4-py38haa95532_0.conda 94 KB
intel-openmp-2021.4.0-haa95532_3556.conda 2.2 MB
intel-openmp-2023.1.0-h59b6b97_46320.conda 2.7 MB
jpeg-9e-h2bbff1b_0.conda 292 KB
jpeg-9e-h2bbff1b_1.conda 320 KB
lerc-3.0-hd77b12b_0.conda 120 KB
libdeflate-1.17-h2bbff1b_1.conda 153 KB
libdeflate-1.8-h2bbff1b_5.conda 46 KB
libffi-3.4.2-hd77b12b_6.conda 109 KB
libffi-3.4.4-hd77b12b_0.conda 113 KB
libpng-1.6.37-h2a8f88b_0.conda 333 KB
libpng-1.6.39-h8cc25b3_0.conda 369 KB
libtiff-4.2.0-he0120a3_1.conda 754 KB
libtiff-4.4.0-h8a3f274_2.conda 837 KB
libtiff-4.5.1-hd77b12b_0.conda 1.1 MB
libuv-1.40.0-he774522_0.conda 255 KB
libuv-1.44.2-h2bbff1b_0.conda 288 KB
libwebp-1.2.2-h2bbff1b_0.conda 658 KB
libwebp-1.2.4-h2bbff1b_0.conda 67 KB
libwebp-1.3.2-hbc33d0d_0.conda 73 KB
libwebp-base-1.2.4-h2bbff1b_0.conda 279 KB
libwebp-base-1.3.2-h2bbff1b_0.conda 306 KB
lz4-c-1.9.3-h2bbff1b_1.conda 132 KB
lz4-c-1.9.4-h2bbff1b_0.conda 143 KB
mkl-2021.4.0-haa95532_640.conda 114.9 MB
mkl-2023.1.0-h6b88ed4_46358.conda 155.9 MB
mkl-service-2.4.0-py310h2bbff1b_1.conda 44 KB
mkl-service-2.4.0-py38h2bbff1b_0.conda 51 KB
mkl_fft-1.3.1-py38h277e83a_0.conda 139 KB
mkl_fft-1.3.8-py310h2bbff1b_0.conda 170 KB
mkl_random-1.2.2-py38hf11a4ad_0.conda 225 KB
mkl_random-1.2.4-py310h59b6b97_0.conda 227 KB
numpy-1.22.3-py38h7a0a035_0.conda 25 KB
numpy-1.23.4-py38h3b20f71_0.conda 11 KB
numpy-1.26.3-py310h055cbcc_0.conda 11 KB
numpy-base-1.22.3-py38hca35cd5_0.conda 4.9 MB
numpy-base-1.23.4-py38h4da318b_0.conda 6.0 MB
numpy-base-1.26.3-py310h65a83cf_0.conda 6.2 MB
openjpeg-2.4.0-h4fc8c34_0.conda 219 KB
openssl-1.1.1o-h2bbff1b_0.conda 4.8 MB
openssl-1.1.1s-h2bbff1b_0.conda 5.5 MB
openssl-1.1.1w-h2bbff1b_0.conda 5.5 MB
pillow-10.0.1-py310h045eedc_0.conda 788 KB
pillow-9.0.1-py38hdc2b20a_0.conda 923 KB
pillow-9.2.0-py38hdc2b20a_1.conda 922 KB
pip-21.2.2-py36haa95532_0.conda 1.9 MB
pip-21.2.2-py38haa95532_0.conda 1.9 MB
pip-22.2.2-py38haa95532_0.conda 2.3 MB
pip-23.3.1-py310haa95532_0.conda 2.9 MB
pycparser-2.21-pyhd3eb1b0_0.conda 94 KB
pyopenssl-22.0.0-pyhd3eb1b0_0.conda 50 KB
pyopenssl-23.2.0-py310haa95532_0.conda 97 KB
pysocks-1.7.1-py310haa95532_0.conda 28 KB
pysocks-1.7.1-py38haa95532_0.conda 31 KB
python-3.10.0-h96c0403_3.tar.bz2 15.3 MB
python-3.6.13-h3758d61_0.conda 14.6 MB
python-3.8.13-h6244533_0.conda 16.5 MB
python-3.8.15-h6244533_2.conda 18.9 MB
pytorch-1.11.0-py3.8_cuda11.3_cudnn8_0.tar.bz2 1.23 GB
pytorch-1.12.1-py3.10_cuda11.3_cudnn8_0.tar.bz2 1.20 GB
pytorch-1.12.1-py3.8_cuda11.3_cudnn8_0.tar.bz2 1.19 GB
pytorch-mutex-1.0-cuda.tar.bz2 3 KB
requests-2.27.1-pyhd3eb1b0_0.conda 54 KB
requests-2.28.1-py38haa95532_0.conda 100 KB
requests-2.31.0-py310haa95532_0.conda 100 KB
setuptools-58.0.4-py36haa95532_0.conda 776 KB
setuptools-61.2.0-py38haa95532_0.conda 1.0 MB
setuptools-65.5.0-py38haa95532_0.conda 1.1 MB
setuptools-68.2.2-py310haa95532_0.conda 942 KB
six-1.16.0-pyhd3eb1b0_1.conda 18 KB
sqlite-3.38.3-h2bbff1b_0.conda 806 KB
sqlite-3.40.0-h2bbff1b_0.conda 891 KB
sqlite-3.41.2-h2bbff1b_0.conda 894 KB
tbb-2021.8.0-h59b6b97_0.conda 149 KB
tk-8.6.12-h2bbff1b_0.conda 3.1 MB
torchaudio-0.12.1-py310_cu113.tar.bz2 3.7 MB
torchaudio-0.12.1-py38_cu113.tar.bz2 3.7 MB
torchvision-0.12.0-py38_cu113.tar.bz2 9.0 MB
torchvision-0.13.1-py310_cu113.tar.bz2 7.4 MB
torchvision-0.13.1-py38_cu113.tar.bz2 7.4 MB
typing_extensions-4.1.1-pyh06a4308_0.conda 28 KB
typing_extensions-4.3.0-py38haa95532_0.conda 42 KB
typing_extensions-4.9.0-py310haa95532_1.conda 55 KB
tzdata-2023d-h04d1e81_0.conda 117 KB
urllib3-1.26.12-py38haa95532_0.conda 185 KB
urllib3-1.26.18-py310haa95532_0.conda 200 KB
urllib3-1.26.9-py38haa95532_0.conda 187 KB
vc-14.2-h21ff451_1.conda 8 KB
vs2015_runtime-14.27.29016-h5e58377_2.conda 1007 KB
wheel-0.37.1-pyhd3eb1b0_0.conda 33 KB
wheel-0.41.2-py310haa95532_0.conda 127 KB
wincertstore-0.2-py36h7fe50ca_0.conda 14 KB
wincertstore-0.2-py38haa95532_2.conda 15 KB
win_inet_pton-1.1.0-py310haa95532_0.conda 9 KB
win_inet_pton-1.1.0-py38haa95532_0.conda 35 KB
xz-5.2.5-h8cc25b3_1.conda 246 KB
xz-5.2.6-h8cc25b3_0.conda 240 KB
xz-5.4.5-h8cc25b3_0.conda 593 KB
zlib-1.2.12-h8cc25b3_2.conda 116 KB
zlib-1.2.13-h8cc25b3_0.conda 113 KB
zstd-1.5.2-h19a0ad4_0.conda 509 KB
zstd-1.5.5-hd43e919_0.conda 682 KB
---------------------------------------------------
Total: 4.59 GB
Proceed ([y]/n)?这里可以清楚 4.59G
附上 conda clean 命令大全
usage: conda clean [-h] [-a] [-i] [-p] [-t] [-f]
[-c TEMPFILES [TEMPFILES ...]] [-d] [--json] [-q] [-v] [-y]
Remove unused packages and caches.
Options:
optional arguments:
-h, --help Show this help message and exit.
Removal Targets:
-a, --all Remove index cache, lock files, unused cache packages,
and tarballs.
-i, --index-cache Remove index cache.
-p, --packages Remove unused packages from writable package caches.
WARNING: This does not check for packages installed
using symlinks back to the package cache.
-t, --tarballs Remove cached package tarballs.
-f, --force-pkgs-dirs
Remove *all* writable package caches. This option is
not included with the --all flag. WARNING: This will
break environments with packages installed using
symlinks back to the package cache.
-c TEMPFILES [TEMPFILES ...], --tempfiles TEMPFILES [TEMPFILES ...]
Remove temporary files that could not be deleted
earlier due to being in-use. Argument is path(s) to
prefix(es) where files should be found and removed.
Output, Prompt, and Flow Control Options:
-d, --dry-run Only display what would have been done.
--json Report all output as json. Suitable for using conda
programmatically.
-q, --quiet Do not display progress bar.
-v, --verbose Can be used multiple times. Once for INFO, twice for
DEBUG, three times for TRACE.
-y, --yes Do not ask for confirmation.
Examples:
conda clean --tarballs
最后 pkgs的大小从13G--》8.5G
虽然搜身 但是还是很大
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