• 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:\*****\**\Anaconda3\pkgs

    1. (base) C:\Users\Liu_J>conda clean -p
    2. WARNING: C:\Users\***\.conda\pkgs does not exist
    3. WARNING: C:\Users\***\AppData\Local\conda\conda\pkgs does not exist
    4. Cache location: D:\ProgramData\Anaconda3\pkgs
    5. Will remove the following packages:
    6. D:\*****\**\Anaconda3\pkgs
    7. -----------------------------
    8.  
    9. blas-1.0-mkl                                  16 KB
    10. ca-certificates-2022.10.11-haa95532_0        454 KB
    11. certifi-2021.5.30-py36haa95532_0             278 KB
    12. certifi-2022.9.24-py38haa95532_0             311 KB
    13. cffi-1.15.1-py38h2bbff1b_2                   801 KB
    14. cryptography-38.0.1-py38h21b164f_0           4.9 MB
    15. idna-3.3-pyhd3eb1b0_0                        289 KB
    16. idna-3.4-py38haa95532_0                      516 KB
    17. libdeflate-1.8-h2bbff1b_5                    206 KB
    18. libffi-3.4.2-hd77b12b_6                      801 KB
    19. libtiff-4.4.0-h8a3f274_2                     3.5 MB
    20. libwebp-1.2.4-h2bbff1b_0                     191 KB
    21. libwebp-base-1.2.4-h2bbff1b_0                903 KB
    22. numpy-1.22.3-py38h7a0a035_0                   80 KB
    23. numpy-1.23.4-py38h3b20f71_0                   30 KB
    24. numpy-1.26.3-py310h055cbcc_0                  33 KB
    25. numpy-base-1.23.4-py38h4da318b_0            25.9 MB
    26. openssl-1.1.1s-h2bbff1b_0                   22.3 MB
    27. pillow-9.2.0-py38hdc2b20a_1                  3.0 MB
    28. pip-21.2.2-py36haa95532_0                    9.0 MB
    29. pip-22.2.2-py38haa95532_0                   11.0 MB
    30. python-3.6.13-h3758d61_0                    59.3 MB
    31. python-3.8.15-h6244533_2                    64.4 MB
    32. pytorch-1.12.1-py3.8_cuda11.3_cudnn8_0     293.3 MB
    33. pytorch-mutex-1.0-cuda                         7 KB
    34. requests-2.27.1-pyhd3eb1b0_0                 220 KB
    35. requests-2.28.1-py38haa95532_0               396 KB
    36. setuptools-58.0.4-py36haa95532_0             4.1 MB
    37. setuptools-65.5.0-py38haa95532_0             6.3 MB
    38. sqlite-3.40.0-h2bbff1b_0                     3.8 MB
    39. torchaudio-0.12.1-py38_cu113                 9.2 MB
    40. torchvision-0.13.1-py38_cu113               15.7 MB
    41. typing_extensions-4.3.0-py38haa95532_0       181 KB
    42. urllib3-1.26.12-py38haa95532_0               761 KB
    43. vc-14.2-h21ff451_1                            23 KB
    44. wincertstore-0.2-py36h7fe50ca_0               39 KB
    45. xz-5.2.6-h8cc25b3_0                          1.1 MB
    46.  
    47. ---------------------------------------------------
    48. Total:                                     543.2 MB
    49.  
    50. Proceed ([y]/n)? y
    51.  
    52. removing blas-1.0-mkl
    53. removing ca-certificates-2022.10.11-haa95532_0
    54. removing certifi-2021.5.30-py36haa95532_0
    55. removing certifi-2022.9.24-py38haa95532_0
    56. removing cffi-1.15.1-py38h2bbff1b_2
    57. removing cryptography-38.0.1-py38h21b164f_0
    58. removing idna-3.3-pyhd3eb1b0_0
    59. removing idna-3.4-py38haa95532_0
    60. removing libdeflate-1.8-h2bbff1b_5
    61. removing libffi-3.4.2-hd77b12b_6
    62. removing libtiff-4.4.0-h8a3f274_2
    63. removing libwebp-1.2.4-h2bbff1b_0
    64. removing libwebp-base-1.2.4-h2bbff1b_0
    65. removing numpy-1.22.3-py38h7a0a035_0
    66. removing numpy-1.23.4-py38h3b20f71_0
    67. removing numpy-1.26.3-py310h055cbcc_0
    68. removing numpy-base-1.23.4-py38h4da318b_0
    69. removing openssl-1.1.1s-h2bbff1b_0
    70. removing pillow-9.2.0-py38hdc2b20a_1
    71. removing pip-21.2.2-py36haa95532_0
    72. removing pip-22.2.2-py38haa95532_0
    73. removing python-3.6.13-h3758d61_0
    74. removing python-3.8.15-h6244533_2
    75. removing pytorch-1.12.1-py3.8_cuda11.3_cudnn8_0
    76. removing pytorch-mutex-1.0-cuda
    77. removing requests-2.27.1-pyhd3eb1b0_0
    78. removing requests-2.28.1-py38haa95532_0
    79. removing setuptools-58.0.4-py36haa95532_0
    80. removing setuptools-65.5.0-py38haa95532_0
    81. removing sqlite-3.40.0-h2bbff1b_0
    82. removing torchaudio-0.12.1-py38_cu113
    83. removing torchvision-0.13.1-py38_cu113
    84. removing typing_extensions-4.3.0-py38haa95532_0
    85. removing urllib3-1.26.12-py38haa95532_0
    86. removing vc-14.2-h21ff451_1
    87. removing wincertstore-0.2-py36h7fe50ca_0
    88. 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

    1. (base) C:\Us***\****>conda clean --all
    2. Cache location: D:\ProgramData\Anaconda3\pkgs
    3. Will remove the following tarballs:
    4.  
    5. D:\*****\**\Anaconda3\pkgs
    6. -----------------------------
    7. blas-1.0-mkl.conda                             6 KB
    8. brotli-python-1.0.9-py310hd77b12b_7.conda     309 KB
    9. brotlipy-0.7.0-py38h2bbff1b_1003.conda       412 KB
    10. bzip2-1.0.8-he774522_0.conda                 113 KB
    11. ca-certificates-2022.10.11-haa95532_0.conda     125 KB
    12. ca-certificates-2022.4.26-haa95532_0.conda     124 KB
    13. ca-certificates-2023.12.12-haa95532_0.conda     127 KB
    14. certifi-2021.5.30-py36haa95532_0.conda       140 KB
    15. certifi-2022.5.18.1-py38haa95532_0.conda     157 KB
    16. certifi-2022.9.24-py38haa95532_0.conda       154 KB
    17. certifi-2023.11.17-py310haa95532_0.conda     159 KB
    18. cffi-1.15.0-py38h2bbff1b_1.conda             223 KB
    19. cffi-1.15.1-py38h2bbff1b_2.conda             235 KB
    20. cffi-1.16.0-py310h2bbff1b_0.conda            244 KB
    21. charset-normalizer-2.0.4-pyhd3eb1b0_0.conda      35 KB
    22. cryptography-37.0.1-py38h21b164f_0.conda     979 KB
    23. cryptography-38.0.1-py38h21b164f_0.conda     992 KB
    24. cryptography-41.0.3-py310h3438e0d_0.conda     1.1 MB
    25. cudatoolkit-11.3.1-h59b6b97_2.conda        545.3 MB
    26. freetype-2.10.4-hd328e21_0.conda             466 KB
    27. freetype-2.12.1-ha860e81_0.conda             490 KB
    28. giflib-5.2.1-h8cc25b3_3.conda                 88 KB
    29. idna-3.3-pyhd3eb1b0_0.conda                   49 KB
    30. idna-3.4-py310haa95532_0.conda                97 KB
    31. idna-3.4-py38haa95532_0.conda                 94 KB
    32. intel-openmp-2021.4.0-haa95532_3556.conda     2.2 MB
    33. intel-openmp-2023.1.0-h59b6b97_46320.conda     2.7 MB
    34. jpeg-9e-h2bbff1b_0.conda                     292 KB
    35. jpeg-9e-h2bbff1b_1.conda                     320 KB
    36. lerc-3.0-hd77b12b_0.conda                    120 KB
    37. libdeflate-1.17-h2bbff1b_1.conda             153 KB
    38. libdeflate-1.8-h2bbff1b_5.conda               46 KB
    39. libffi-3.4.2-hd77b12b_6.conda                109 KB
    40. libffi-3.4.4-hd77b12b_0.conda                113 KB
    41. libpng-1.6.37-h2a8f88b_0.conda               333 KB
    42. libpng-1.6.39-h8cc25b3_0.conda               369 KB
    43. libtiff-4.2.0-he0120a3_1.conda               754 KB
    44. libtiff-4.4.0-h8a3f274_2.conda               837 KB
    45. libtiff-4.5.1-hd77b12b_0.conda               1.1 MB
    46. libuv-1.40.0-he774522_0.conda                255 KB
    47. libuv-1.44.2-h2bbff1b_0.conda                288 KB
    48. libwebp-1.2.2-h2bbff1b_0.conda               658 KB
    49. libwebp-1.2.4-h2bbff1b_0.conda                67 KB
    50. libwebp-1.3.2-hbc33d0d_0.conda                73 KB
    51. libwebp-base-1.2.4-h2bbff1b_0.conda          279 KB
    52. libwebp-base-1.3.2-h2bbff1b_0.conda          306 KB
    53. lz4-c-1.9.3-h2bbff1b_1.conda                 132 KB
    54. lz4-c-1.9.4-h2bbff1b_0.conda                 143 KB
    55. mkl-2021.4.0-haa95532_640.conda            114.9 MB
    56. mkl-2023.1.0-h6b88ed4_46358.conda          155.9 MB
    57. mkl-service-2.4.0-py310h2bbff1b_1.conda       44 KB
    58. mkl-service-2.4.0-py38h2bbff1b_0.conda        51 KB
    59. mkl_fft-1.3.1-py38h277e83a_0.conda           139 KB
    60. mkl_fft-1.3.8-py310h2bbff1b_0.conda          170 KB
    61. mkl_random-1.2.2-py38hf11a4ad_0.conda        225 KB
    62. mkl_random-1.2.4-py310h59b6b97_0.conda       227 KB
    63. numpy-1.22.3-py38h7a0a035_0.conda             25 KB
    64. numpy-1.23.4-py38h3b20f71_0.conda             11 KB
    65. numpy-1.26.3-py310h055cbcc_0.conda            11 KB
    66. numpy-base-1.22.3-py38hca35cd5_0.conda       4.9 MB
    67. numpy-base-1.23.4-py38h4da318b_0.conda       6.0 MB
    68. numpy-base-1.26.3-py310h65a83cf_0.conda      6.2 MB
    69. openjpeg-2.4.0-h4fc8c34_0.conda              219 KB
    70. openssl-1.1.1o-h2bbff1b_0.conda              4.8 MB
    71. openssl-1.1.1s-h2bbff1b_0.conda              5.5 MB
    72. openssl-1.1.1w-h2bbff1b_0.conda              5.5 MB
    73. pillow-10.0.1-py310h045eedc_0.conda          788 KB
    74. pillow-9.0.1-py38hdc2b20a_0.conda            923 KB
    75. pillow-9.2.0-py38hdc2b20a_1.conda            922 KB
    76. pip-21.2.2-py36haa95532_0.conda              1.9 MB
    77. pip-21.2.2-py38haa95532_0.conda              1.9 MB
    78. pip-22.2.2-py38haa95532_0.conda              2.3 MB
    79. pip-23.3.1-py310haa95532_0.conda             2.9 MB
    80. pycparser-2.21-pyhd3eb1b0_0.conda             94 KB
    81. pyopenssl-22.0.0-pyhd3eb1b0_0.conda           50 KB
    82. pyopenssl-23.2.0-py310haa95532_0.conda        97 KB
    83. pysocks-1.7.1-py310haa95532_0.conda           28 KB
    84. pysocks-1.7.1-py38haa95532_0.conda            31 KB
    85. python-3.10.0-h96c0403_3.tar.bz2            15.3 MB
    86. python-3.6.13-h3758d61_0.conda              14.6 MB
    87. python-3.8.13-h6244533_0.conda              16.5 MB
    88. python-3.8.15-h6244533_2.conda              18.9 MB
    89. pytorch-1.11.0-py3.8_cuda11.3_cudnn8_0.tar.bz2    1.23 GB
    90. pytorch-1.12.1-py3.10_cuda11.3_cudnn8_0.tar.bz2    1.20 GB
    91. pytorch-1.12.1-py3.8_cuda11.3_cudnn8_0.tar.bz2    1.19 GB
    92. pytorch-mutex-1.0-cuda.tar.bz2                 3 KB
    93. requests-2.27.1-pyhd3eb1b0_0.conda            54 KB
    94. requests-2.28.1-py38haa95532_0.conda         100 KB
    95. requests-2.31.0-py310haa95532_0.conda        100 KB
    96. setuptools-58.0.4-py36haa95532_0.conda       776 KB
    97. setuptools-61.2.0-py38haa95532_0.conda       1.0 MB
    98. setuptools-65.5.0-py38haa95532_0.conda       1.1 MB
    99. setuptools-68.2.2-py310haa95532_0.conda      942 KB
    100. six-1.16.0-pyhd3eb1b0_1.conda                 18 KB
    101. sqlite-3.38.3-h2bbff1b_0.conda               806 KB
    102. sqlite-3.40.0-h2bbff1b_0.conda               891 KB
    103. sqlite-3.41.2-h2bbff1b_0.conda               894 KB
    104. tbb-2021.8.0-h59b6b97_0.conda                149 KB
    105. tk-8.6.12-h2bbff1b_0.conda                   3.1 MB
    106. torchaudio-0.12.1-py310_cu113.tar.bz2        3.7 MB
    107. torchaudio-0.12.1-py38_cu113.tar.bz2         3.7 MB
    108. torchvision-0.12.0-py38_cu113.tar.bz2        9.0 MB
    109. torchvision-0.13.1-py310_cu113.tar.bz2       7.4 MB
    110. torchvision-0.13.1-py38_cu113.tar.bz2        7.4 MB
    111. typing_extensions-4.1.1-pyh06a4308_0.conda      28 KB
    112. typing_extensions-4.3.0-py38haa95532_0.conda      42 KB
    113. typing_extensions-4.9.0-py310haa95532_1.conda      55 KB
    114. tzdata-2023d-h04d1e81_0.conda                117 KB
    115. urllib3-1.26.12-py38haa95532_0.conda         185 KB
    116. urllib3-1.26.18-py310haa95532_0.conda        200 KB
    117. urllib3-1.26.9-py38haa95532_0.conda          187 KB
    118. vc-14.2-h21ff451_1.conda                       8 KB
    119. vs2015_runtime-14.27.29016-h5e58377_2.conda    1007 KB
    120. wheel-0.37.1-pyhd3eb1b0_0.conda               33 KB
    121. wheel-0.41.2-py310haa95532_0.conda           127 KB
    122. wincertstore-0.2-py36h7fe50ca_0.conda         14 KB
    123. wincertstore-0.2-py38haa95532_2.conda         15 KB
    124. win_inet_pton-1.1.0-py310haa95532_0.conda       9 KB
    125. win_inet_pton-1.1.0-py38haa95532_0.conda      35 KB
    126. xz-5.2.5-h8cc25b3_1.conda                    246 KB
    127. xz-5.2.6-h8cc25b3_0.conda                    240 KB
    128. xz-5.4.5-h8cc25b3_0.conda                    593 KB
    129. zlib-1.2.12-h8cc25b3_2.conda                 116 KB
    130. zlib-1.2.13-h8cc25b3_0.conda                 113 KB
    131. zstd-1.5.2-h19a0ad4_0.conda                  509 KB
    132. zstd-1.5.5-hd43e919_0.conda                  682 KB
    133.  
    134. ---------------------------------------------------
    135. Total:                                      4.59 GB
    136.  
    137. Proceed ([y]/n)?

    这里可以清楚 4.59G

    附上 conda clean 命令大全

    1. usage: conda clean [-h] [-a] [-i] [-p] [-t] [-f]
    2.                    [-c TEMPFILES [TEMPFILES ...]] [-d] [--json] [-q] [-v] [-y]
    3.  
    4. Remove unused packages and caches.
    5.  
    6. Options:
    7.  
    8. optional arguments:
    9.   -h, --help            Show this help message and exit.
    10.  
    11. Removal Targets:
    12.   -a, --all             Remove index cache, lock files, unused cache packages,
    13.                         and tarballs.
    14.   -i, --index-cache     Remove index cache.
    15.   -p, --packages        Remove unused packages from writable package caches.
    16.                         WARNING: This does not check for packages installed
    17.                         using symlinks back to the package cache.
    18.   -t, --tarballs        Remove cached package tarballs.
    19.   -f, --force-pkgs-dirs
    20.                         Remove *all* writable package caches. This option is
    21.                         not included with the --all flag. WARNING: This will
    22.                         break environments with packages installed using
    23.                         symlinks back to the package cache.
    24.   -c TEMPFILES [TEMPFILES ...], --tempfiles TEMPFILES [TEMPFILES ...]
    25.                         Remove temporary files that could not be deleted
    26.                         earlier due to being in-use. Argument is path(s) to
    27.                         prefix(es) where files should be found and removed.
    28.  
    29. Output, Prompt, and Flow Control Options:
    30.   -d, --dry-run         Only display what would have been done.
    31.   --json                Report all output as json. Suitable for using conda
    32.                         programmatically.
    33.   -q, --quiet           Do not display progress bar.
    34.   -v, --verbose         Can be used multiple times. Once for INFO, twice for
    35.                         DEBUG, three times for TRACE.
    36.   -y, --yes             Do not ask for confirmation.
    37.  
    38. Examples:
    39.  
    40.     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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  • 原文地址：https://blog.csdn.net/Vertira/article/details/136207314