如何查看用conda以开发者模式安装的所有软件包？

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如何查看用conda以开发者模式安装的所有软件包？

我执行了conda list命令，但是没有看到我想要的内容。用conda develop .安装的conda包没有显示吗？

#在/Users/pinocchio/anaconda3/envs/myenv环境中的包：

#

#名称 版本 构建 频道

absl-py 0.9.0 py37_0

appnope 0.1.0 py37hc8dfbb8_1001 conda-forge

asn1crypto 1.3.0 py37_0

astroid 2.3.3 py37_0

attrs 19.3.0 py_0 conda-forge

backcall 0.1.0 py_0 conda-forge

beautifulsoup4 4.8.2 py37_0

blas 1.0 mkl

bleach 3.1.4 pyh9f0ad1d_0 conda-forge

bzip2 1.0.8 h1de35cc_0

c-ares 1.15.0 h1de35cc_1001

ca-certificates 2020.1.1 0

cairo 1.14.12 hc4e6be7_4

certifi 2020.4.5.1 py37_0

cffi 1.14.0 py37hb5b8e2f_0

chardet 3.0.4 py37_1003

conda 4.8.3 py37_0

conda-build 3.18.11 py37_0

conda-package-handling 1.6.0 py37h1de35cc_0

cryptography 2.8 py37ha12b0ac_0

cycler 0.10.0 py37_0

decorator 4.4.2 py_0 conda-forge

defusedxml 0.6.0 py_0 conda-forge

entrypoints 0.3 py37hc8dfbb8_1001 conda-forge

expat 2.2.6 h0a44026_0

filelock 3.0.12 py_0

fontconfig 2.13.0 h5d5b041_1

freetype 2.9.1 hb4e5f40_0

fribidi 1.0.5 h1de35cc_0

gettext 0.19.8.1 h15daf44_3

glib 2.63.1 hd977a24_0

glob2 0.7 py_0

graphite2 1.3.13 h2098e52_0

graphviz 2.40.1 hefbbd9a_2

grpcio 1.16.1 py37h044775b_1

harfbuzz 1.8.8 hb8d4a28_0

icu 58.2 h4b95b61_1

idna 2.9 py_1

importlib-metadata 1.6.0 py37hc8dfbb8_0 conda-forge

importlib_metadata 1.6.0 0 conda-forge

intel-openmp 2019.4 233

ipykernel 5.2.0 py37h43977f1_1 conda-forge

ipython 7.13.0 py37hc8dfbb8_2 conda-forge

ipython_genutils 0.2.0 py_1 conda-forge

isort 4.3.21 py37_0

jedi 0.16.0 py37hc8dfbb8_1 conda-forge

jinja2 2.11.1 py_0

jpeg 9b he5867d9_2

json5 0.9.0 py_0 conda-forge

jsonschema 3.2.0 py37hc8dfbb8_1 conda-forge

jupyter_client 6.1.2 py_0 conda-forge

jupyter_core 4.6.3 py37hc8dfbb8_1 conda-forge

jupyterlab 2.0.1 py_0 conda-forge

jupyterlab_server 1.0.7 py_0 conda-forge

kiwisolver 1.1.0 py37h0a44026_0

lazy-object-proxy 1.4.3 py37h1de35cc_0

libarchive 3.3.3 h786848e_5

libcxx 4.0.1 hcfea43d_1

libcxxabi 4.0.1 hcfea43d_1

libedit 3.1.20181209 hb402a30_0

libffi 3.2.1 h475c297_4

libgfortran 3.0.1 h93005f0_2

libiconv 1.15 hdd342a3_7

liblief 0.9.0 h2a1bed3_2

libpng 1.6.37 ha441bb4_0

libprotobuf 3.11.4 hd9629dc_0

libsodium 1.0.17 h01d97ff_0 conda-forge

libtiff 4.1.0 hcb84e12_0

libxml2 2.9.9 hf6e021a_1

lz4-c 1.8.1.2 h1de35cc_0

lzo 2.10 h362108e_2

markdown 3.1.1 py37_0

markupsafe 1.1.1 py37h1de35cc_0

matplotlib 3.1.3 py37_0

matplotlib-base 3.1.3 py37h9aa3819_0

mccabe 0.6.1 py37_1

mistune 0.8.4 py37h0b31af3_1000 conda-forge

mkl 2019.4 233

mkl-service 2.3.0 py37hfbe908c_0

mkl_fft 1.0.15 py37h5e564d8_0

mkl_random 1.1.0 py37ha771720_0

nbconvert 5.6.1 py37_0 conda-forge

nbformat 5.0.4 py_0 conda-forge

ncurses 6.2 h0a44026_0

ninja 1.9.0 py37h04f5b5a_0

notebook 6.0.3 py37_0 conda-forge

numpy 1.18.1 py37h7241aed_0

numpy-base 1.18.1 py37h6575580_1

olefile 0.46 py37_0

openssl 1.1.1g h1de35cc_0

pandoc 2.9.2 0 conda-forge

pandocfilters 1.4.2 py_1 conda-forge

pango 1.42.4 h060686c_0

parso 0.6.2 py_0 conda-forge

pcre 8.43 h0a44026_0

pexpect 4.8.0 py37hc8dfbb8_1 conda-forge

pickleshare 0.7.5 py37hc8dfbb8_1001 conda-forge

pillow 6.2.1 py37hb68e598_0

pip 20.0.2 py37_1

pixman 0.38.0 h1de35cc_0

pkginfo 1.5.0.1 py37_0

prometheus_client 0.7.1 py_0 conda-forge

prompt-toolkit 3.0.5 py_0 conda-forge

protobuf 3.11.4 py37h0a44026_0

psutil 5.7.0 py37h1de35cc_0

ptyprocess 0.6.0 py_1001 conda-forge

py-lief 0.9.0 py37h1413db1_2

pycosat 0.6.3 py37h1de35cc_0

pycparser 2.20 py_0

pygments 2.6.1 py_0 conda-forge

pylint 2.4.4 py37_0

pyopenssl 19.1.0 py37_0

pyparsing 2.4.6 py_0

pyrsistent 0.16.0 py37h9bfed18_0 conda-forge

pysocks 1.7.1 py37_0

python 3.7.7 hc70fcce_0_cpython

python-dateutil 2.8.1 py_0 conda-forge

python-graphviz 0.13.2 pypi_0 pypi

python-libarchive-c 2.8 py37_13

python_abi 3.7 1_cp37m conda-forge

pytorch 1.4.0 py3.7_0 pytorch

pytz 2019.3 py_0

pyyaml 5.3.1 py37h1de35cc_0

pyzmq 18.1.1 py37h0a44026_0

readline 8.0 h1de35cc_0

requests 2.23.0 py37_0

ripgrep 11.0.2 he32d670_0

ruamel_yaml 0.15.87 py37h1de35cc_0

send2trash 1.5.0 py_0 conda-forge

setuptools 46.1.1 py37_0

six 1.14.0 py37_0

soupsieve 2.0 py_0

sqlite 3.31.1 ha441bb4_0

tensorboard 2.0.0 pyhb38c66f_1

terminado 0.8.3 py37hc8dfbb8_1 conda-forge

testpath 0.4.4 py_0 conda-forge

tk 8.6.8 ha441bb4_0

torchvision 0.2.1 py_2 soumith

tornado 6.0.4 py37h9bfed18_1 conda-forge

tqdm 4.43.0 py_0

traitlets 4.3.3 py37hc8dfbb8_1 conda-forge

urllib3 1.25.8 py37_0

wcwidth 0.1.9 pyh9f0ad1d_0 conda-forge

webencodings 0.5.1 py_1 conda-forge

werkzeug 1.0.0 py_0

wheel 0.34.2 py37_0

wrapt 1.12.1 py37h1de35cc_1

xz 5.2.4 h1de35cc_4

yaml 0.1.7 hc338f04_2

zeromq 4.3.2 h6de7cb9_2 conda-forge

zipp 3.1.0 py_0 conda-forge

zlib 1.2.11 h1de35cc_3

zstd 1.3.7 h5bba6e5_0

应该有utils或类似的东西，但没有。

更新：

我尝试了这个建议，但不起作用。我用conda develop .安装了我的包，然后当我运行Python解释器并尝试导入时，导入失败。为什么？

>>> import my_pkg

Traceback (most recent call last):

File "", line 1, in

ModuleNotFoundError: No module named 'my_pkg'

我还尝试使用pip pip install -e安装它，但是在我转到解释器并尝试导入它后，它也找不到我的包。为什么会这样？

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1 答案

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如何查看在conda的开发者模式下安装的所有包？

当我们在运行conda develop .时，会注意到输出以下内容：

(automl) brandBrandoParetoopareto~/ultimate-utils/uutils $ conda develop .
added /Users/brandBrandoParetoopareto/ultimate-utils/uutils
completed operation for: /Users/brandBrandoParetoopareto/ultimate-utils/uutils

如果我们检查sys.path，会发现已经添加了新的路径：

(automl) brandBrandoParetoopareto~/ultimate-utils/uutils $ python
Python 3.7.7 (default, Mar 26 2020, 10:32:53) 
[Clang 4.0.1 (tags/RELEASE_401/final)] :: Anaconda, Inc. on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import sys
>>> for p in sys.path:
...     print(p)
... 
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python37.zip
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7/lib-dynload
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7/site-packages
/Users/brandBrandoParetoopareto/automl-meta-learning/automl
/Users/brandBrandoParetoopareto/higher
/Users/brandBrandoParetoopareto/ultimate-utils/uutils

我们可以通过删除该路径并打印sys.path的内容来确认：

(automl) brandBrandoParetoopareto~/ultimate-utils/uutils $ conda develop -u .
uninstalled: /Users/brandBrandoParetoopareto/ultimate-utils/uutils

再次检查sys path：

(automl) brandBrandoParetoopareto~/ultimate-utils/uutils $ python
Python 3.7.7 (default, Mar 26 2020, 10:32:53) 
[Clang 4.0.1 (tags/RELEASE_401/final)] :: Anaconda, Inc. on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import sys
>>> for p in sys.path:
...     print(p)
... 
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python37.zip
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7/lib-dynload
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7/site-packages
/Users/brandBrandoParetoopareto/automl-meta-learning/automl
/Users/brandBrandoParetoopareto/higher

现在已经消失了！

另外，需要注意的是conda或python（不确定哪个）也总是添加当前路径。这一点很重要，因为当我在工作目录之外导入测试时，它不起作用，但在工作目录内却可以，这似乎非常神秘，我只能将其归因于这一点。

附加信息：

要从终端检查python的sys.path，请将以下命令作为字符串与python cmd一起运行：

python -c "import sys; print(sys.path)"

或者更好的方法是：

python -c "import sys; [print(p) for p in sys.path]"

原始答案： https://stackoverflow.com/a/59903590/1601580

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