问题
I attempted cleaning up my base (mini)conda environment by installing revision 1 of the base environment.
$ conda install -n base --revision 1
For reference, here is what revision 1 means in my case.
$ conda list -n base --revisions
2019-10-24 14:29:57 (rev 0)
+asn1crypto-1.2.0
+ca-certificates-2019.10.16
+certifi-2019.9.11
+cffi-1.13.0
+chardet-3.0.4
+conda-4.7.12
+conda-package-handling-1.6.0
+cryptography-2.8
+idna-2.8
+libcxx-4.0.1
+libcxxabi-4.0.1
+libedit-3.1.20181209
+libffi-3.2.1
+ncurses-6.1
+openssl-1.1.1d
+pip-19.3.1
+pycosat-0.6.3
+pycparser-2.19
+pyopenssl-19.0.0
+pysocks-1.7.1
+python-3.7.4
+python.app-2
+readline-7.0
+requests-2.22.0
+ruamel_yaml-0.15.46
+setuptools-41.4.0
+six-1.12.0
+sqlite-3.30.0
+tk-8.6.8
+tqdm-4.36.1
+urllib3-1.24.2
+wheel-0.33.6
+xz-5.2.4
+yaml-0.1.7
+zlib-1.2.11
2019-11-06 20:50:32 (rev 1)
cffi {1.13.0 -> 1.13.1}
setuptools {41.4.0 -> 41.6.0}
sqlite {3.30.0 -> 3.30.1}
Despite the above conda install command, my base environment is still polluted by various python packages, that were installed after revision 1.
$ conda list -n base
# packages in environment at /opt/miniconda3:
#
# Name Version Build Channel
absl-py 0.8.1 pypi_0 pypi
alabaster 0.7.12 pypi_0 pypi
appnope 0.1.0 pypi_0 pypi
asn1crypto 1.2.0 py37_0
astor 0.8.0 pypi_0 pypi
aws-sam-translator 1.21.0 pypi_0 pypi
aws-xray-sdk 2.4.3 pypi_0 pypi
babel 2.8.0 pypi_0 pypi
bleach 3.1.0 pypi_0 pypi
boto 2.49.0 pypi_0 pypi
boto3 1.12.17 pypi_0 pypi
botocore 1.15.17 pypi_0 pypi
ca-certificates 2019.10.16 0
certifi 2019.9.11 py37_0
cffi 1.13.1 py37hb5b8e2f_0
cfn-lint 0.28.4 pypi_0 pypi
chardet 3.0.4 py37_1003
conda 4.7.12 py37_0
conda-package-handling 1.6.0 py37h1de35cc_0
confluence-py 1.0.1 pypi_0 pypi
coverage 5.0.3 pypi_0 pypi
cryptography 2.8 py37ha12b0ac_0
defusedxml 0.6.0 pypi_0 pypi
docker 4.2.0 pypi_0 pypi
docutils 0.16 pypi_0 pypi
ecdsa 0.15 pypi_0 pypi
entrypoints 0.3 pypi_0 pypi
future 0.18.2 pypi_0 pypi
gast 0.2.2 pypi_0 pypi
google-pasta 0.1.8 pypi_0 pypi
grpcio 1.24.3 pypi_0 pypi
h5py 2.8.0 pypi_0 pypi
idna 2.8 py37_0
imagesize 1.2.0 pypi_0 pypi
ipython-genutils 0.2.0 pypi_0 pypi
jmespath 0.9.5 pypi_0 pypi
jsondiff 1.1.2 pypi_0 pypi
jsonpatch 1.25 pypi_0 pypi
jsonpickle 1.3 pypi_0 pypi
jsonpointer 2.0 pypi_0 pypi
jupyterlab 1.2.1 pypi_0 pypi
keras-applications 1.0.8 pypi_0 pypi
keras-preprocessing 1.1.0 pypi_0 pypi
libcxx 4.0.1 hcfea43d_1
libcxxabi 4.0.1 hcfea43d_1
libedit 3.1.20181209 hb402a30_0
libffi 3.2.1 h475c297_4
markdown 3.1.1 pypi_0 pypi
mock 4.0.1 pypi_0 pypi
moto 1.3.14 pypi_0 pypi
nbsphinx 0.5.1 pypi_0 pypi
ncurses 6.1 h0a44026_1
numpy 1.16.4 pypi_0 pypi
openssl 1.1.1d h1de35cc_3
opt-einsum 3.1.0 pypi_0 pypi
packaging 20.3 pypi_0 pypi
pickleshare 0.7.5 pypi_0 pypi
pip 19.3.1 py37_0
pluggy 0.13.1 pypi_0 pypi
protobuf 3.10.0 pypi_0 pypi
ptyprocess 0.6.0 pypi_0 pypi
py 1.8.1 pypi_0 pypi
pyasn1 0.4.8 pypi_0 pypi
pycosat 0.6.3 py37h1de35cc_0
pycparser 2.19 py37_0
pyflakes 2.1.1 pypi_0 pypi
pyinquirer 1.0.3 pypi_0 pypi
pyopenssl 19.0.0 py37_0
pyparsing 2.4.6 pypi_0 pypi
pyrsistent 0.15.5 pypi_0 pypi
pysocks 1.7.1 py37_0
pytest 5.3.5 pypi_0 pypi
pytest-cov 2.8.1 pypi_0 pypi
pytest-flakes 4.0.0 pypi_0 pypi
python 3.7.4 h359304d_1
python-jose 3.1.0 pypi_0 pypi
python.app 2 py37_9
pytz 2019.3 pypi_0 pypi
pyyaml 5.3 pypi_0 pypi
pyzmq 18.1.0 pypi_0 pypi
readline 7.0 h1de35cc_5
regex 2019.11.1 pypi_0 pypi
requests 2.22.0 py37_0
responses 0.10.12 pypi_0 pypi
rsa 4.0 pypi_0 pypi
ruamel_yaml 0.15.46 py37h1de35cc_0
s3transfer 0.3.3 pypi_0 pypi
send2trash 1.5.0 pypi_0 pypi
setuptools 41.6.0 py37_0
six 1.11.0 pypi_0 pypi
snowballstemmer 2.0.0 pypi_0 pypi
sphinx 2.4.4 pypi_0 pypi
sphinxcontrib-applehelp 1.0.2 pypi_0 pypi
sphinxcontrib-devhelp 1.0.2 pypi_0 pypi
sphinxcontrib-htmlhelp 1.0.3 pypi_0 pypi
sphinxcontrib-jsmath 1.0.1 pypi_0 pypi
sphinxcontrib-qthelp 1.0.3 pypi_0 pypi
sphinxcontrib-serializinghtml 1.1.4 pypi_0 pypi
sqlite 3.30.1 ha441bb4_0
sshpubkeys 3.1.0 pypi_0 pypi
tensorboard 1.15.0 pypi_0 pypi
tensorflow 1.15.0 pypi_0 pypi
tensorflow-estimator 1.15.1 pypi_0 pypi
tensorflow-hub 0.5.0 pypi_0 pypi
tensorflowjs 1.3.1.1 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
terminado 0.8.2 pypi_0 pypi
tk 8.6.8 ha441bb4_0
tqdm 4.36.1 py_0
urllib3 1.24.2 py37_0
wcwidth 0.1.7 pypi_0 pypi
webencodings 0.5.1 pypi_0 pypi
websocket-client 0.57.0 pypi_0 pypi
werkzeug 0.16.0 pypi_0 pypi
wheel 0.33.6 py37_0
wrapt 1.11.2 pypi_0 pypi
xmltodict 0.12.0 pypi_0 pypi
xz 5.2.4 h1de35cc_4
yaml 0.1.7 hc338f04_2
zlib 1.2.11 h1de35cc_3
The environment still contains unwanted packages from the pypi channel. Can I only get rid of them via pip uninstall (which is terribly tedious) or there's a nicer / less manual way, like conda install --revision?
回答1:
There is nothing in the Conda CLI to handle this, but pip uninstall also works with a requirements.txt, which could easily be made with this output. For example,
conda list | awk '$4 ~ /^pypi$/ { print $1 }' > requirements.txt
pip uninstall -r requirements.txt
or if you want a one liner
# make sure you have the right environment activated!
pip uninstall -r <(conda list | awk '$4 ~ /^pypi$/ {print $1}')
There is a -y flag for pip uninstall, but I would review the operation, just to double check it is removing from where you expect.
来源：https://stackoverflow.com/questions/63648608/conda-install-n-base-revision-1-doesnt-clean-up-pypi-packages