blocks|key|4435961|text|Pip依赖项可以像这样包含在environment.yml文件中(docs)：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|4435962|#+run:+conda+env+create+--file+environment.yml
name:+test-env
dependencies:
-+python>=3.5
-+anaconda
-+pip
-+numpy=1.13.3++#+pin+version+for+conda
-+pip:
++#+works+for+regular+pip+packages
++-+docx
++-+gooey
++-+matplotlib==2.0.0++#+pin+version+for+pip
++#+and+for+wheels
++-+http://www.lfd.uci.edu/~gohlke/pythonlibs/bofhrmxk/opencv_python-3.1.0-cp35-none-win_amd64.whl|code-block|syntax|javascript|4435963|它还适用于同一目录中的.whl文件(请参阅Dengar's+answer)以及常见的pip包。|4435964|entityMap|0|LINK|mutability|MUTABLE|url|https://conda.io/docs/user-guide/tasks/manage-environments.html#create-env-file-manually|1|https://stackoverflow.com/a/41454032/5276734^0|E|F|X|4|0|0|0|B|4|L|F|1|0^^$0|@$1|2|3|4|5|6|7|W|8|@$9|X|A|Y|B|C]]|D|@$9|Z|A|10|1|11]]|E|$]]|$1|F|3|G|5|H|7|12|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|13|8|@$9|14|A|15|B|C]]|D|@$9|16|A|17|1|18]]|E|$]]|$1|M|3|-4|5|6|7|19|8|@]|D|@]|E|$]]]|N|$O|$5|P|Q|R|E|$S|T]]|U|$5|P|Q|R|E|$S|V]]]]

Pip dependencies can be included in the <code>environment.yml</code> file like this (<a href="https://conda.io/docs/user-guide/tasks/manage-environments.html#create-env-file-manually" rel="noreferrer">docs</a>):
<pre><code># run: conda env create --file environment.yml
name: test-env
dependencies:
- python&gt;=3.5
- anaconda
- pip
- numpy=1.13.3 # pin version for conda
- pip:
 # works for regular pip packages
 - docx
 - gooey
 - matplotlib==2.0.0 # pin version for pip
 # and for wheels
 - http://www.lfd.uci.edu/~gohlke/pythonlibs/bofhrmxk/opencv_python-3.1.0-cp35-none-win_amd64.whl
</code></pre>
It also works for <code>.whl</code> files in the same directory (see <a href="https://stackoverflow.com/a/41454032/5276734">Dengar's answer</a>) as well as with common pip packages.

blocks|key|4435815|text|我只想补充说，在目录中添加一个轮子也是可行的。我在使用整个URL时遇到以下错误：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4435816|HTTP+error+404+while+getting+http://www.lfd.uci.edu/~gohlke/pythonlibs/f9r7rmd8/opencv_python-3.1.0-cp35-none-win_amd64.whl|code-block|syntax|javascript|4435817|最终下载了轮子并将其保存到与yml文件相同的目录中。|4435818|name:+test-env
dependencies:
-+python>=3.5
-+anaconda
-+pip
-+pip:
++-+opencv_python-3.1.0-cp35-none-win_amd64.whl|4435819|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|N|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

Just want to add that adding a wheel in the directory also works. I was getting this error when using the entire URL: 

<pre><code>HTTP error 404 while getting http://www.lfd.uci.edu/~gohlke/pythonlibs/f9r7rmd8/opencv_python-3.1.0-cp35-none-win_amd64.whl
</code></pre>

Ended up downloading the wheel and saving it into the same directory as the yml file.

<pre><code>name: test-env
dependencies:
- python&gt;=3.5
- anaconda
- pip
- pip:
 - opencv_python-3.1.0-cp35-none-win_amd64.whl
</code></pre>

blocks|key|4436055|text|也可以直接在YAML中使用requirements.txt。例如,|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|4436056|name:+test-env
dependencies:
++-+python>=3.5
++-+anaconda
++-+pip
++-+pip:
++++-+-r+requirements.txt|code-block|syntax|javascript|4436057|基本上，你可以在一个any+option+you+can+run+with+pip+install中运行。有关其他功能的展示，请参阅the+Advanced+Pip+Example。|4436058|4436059|重要说明|4436060|此答案的前一个版本(以及Conda的高级Pip示例)使用了不符合标准的file+URI语法：|4436061|++++-+-r+file:requirements.txt|4436062|Pip+v21.2.1为URI解析引入了更严格的行为，不再支持这一点。参见this+answer+for+details。|4436063|entityMap|0|LINK|mutability|MUTABLE|url|https://pip.pypa.io/en/stable/reference/pip_install/|1|https://github.com/conda/conda/tree/master/tests/conda_env/support/advanced-pip|2|https://stackoverflow.com/a/68586065/570918^0|D|G|0|0|12|B|A|13|0|1U|O|1|0|0|0|Z|4|0|0|11|N|2|0^^$0|@$1|2|3|4|5|6|7|17|8|@$9|18|A|19|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|1A|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|1B|8|@$9|1C|A|1D|B|C]]|D|@$9|1E|A|1F|1|1G]|$9|1H|A|1I|1|1J]]|E|$]]|$1|M|3|-4|5|6|7|1K|8|@]|D|@]|E|$]]|$1|N|3|O|5|6|7|1L|8|@]|D|@]|E|$]]|$1|P|3|Q|5|6|7|1M|8|@$9|1N|A|1O|B|C]]|D|@]|E|$]]|$1|R|3|S|5|H|7|1P|8|@]|D|@]|E|$I|J]]|$1|T|3|U|5|6|7|1Q|8|@]|D|@$9|1R|A|1S|1|1T]]|E|$]]|$1|V|3|-4|5|6|7|1U|8|@]|D|@]|E|$]]]|W|$X|$5|Y|Z|10|E|$11|12]]|13|$5|Y|Z|10|E|$11|14]]|15|$5|Y|Z|10|E|$11|16]]]]

One can also use the <code>requirements.txt</code> directly in the YAML. For example,
<pre><code>name: test-env
dependencies:
 - python&gt;=3.5
 - anaconda
 - pip
 - pip:
 - -r requirements.txt
</code></pre>
Basically, <a href="https://pip.pypa.io/en/stable/reference/pip_install/" rel="noreferrer">any option you can run with <code>pip install</code></a> you can run in a YAML. See <a href="https://github.com/conda/conda/tree/master/tests/conda_env/support/advanced-pip" rel="noreferrer">the Advanced Pip Example</a> for a showcase of other capabilities.
<hr />
<h3>Important Note</h3>
A previous version of this answer (and Conda's Advanced Pip Example) used a substandard <code>file</code> URI syntax:
<pre class="lang-yaml prettyprint-override"><code> - -r file:requirements.txt
</code></pre>
Pip v21.2.1 introduced stricter behavior for URI parsing and no longer supports this. See <a href="https://stackoverflow.com/a/68586065/570918">this answer for details</a>.

blocks|key|4436129|text|如果你想自动完成它，看起来是这样做的：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4436130|conda+env+export+>+environment.yml`|code-block|syntax|javascript|4436131|已经有了你需要的东西。不需要为我单独运行pip+freeze+>+requirements4pip.txt或将其作为|offset|length|style|CODE|4436132|++-+pip:
++++-+-r+file:requirements.txt|4436133|正如前面提到的另一个答案。|4436134|参见我的yml文件：|4436135|$+cat+environment.yml
name:+myenv
channels:
++-+pytorch
++-+dglteam
++-+defaults
++-+conda-forge
dependencies:
++-+_libgcc_mutex=0.1=main
++-+absl-py=0.12.0=py38h06a4308_0
++-+aiohttp=3.7.4=py38h27cfd23_1
++-+async-timeout=3.0.1=py38h06a4308_0
++-+attrs=20.3.0=pyhd3eb1b0_0
++-+beautifulsoup4=4.9.3=pyha847dfd_0
++-+blas=1.0=mkl
++-+blinker=1.4=py38h06a4308_0
++-+brotlipy=0.7.0=py38h27cfd23_1003
++-+bzip2=1.0.8=h7b6447c_0
++-+c-ares=1.17.1=h27cfd23_0
++-+ca-certificates=2021.4.13=h06a4308_1
++-+cachetools=4.2.1=pyhd3eb1b0_0
++-+cairo=1.14.12=h8948797_3
++-+certifi=2020.12.5=py38h06a4308_0
++-+cffi=1.14.0=py38h2e261b9_0
++-+chardet=3.0.4=py38h06a4308_1003
++-+click=7.1.2=pyhd3eb1b0_0
++-+conda=4.10.1=py38h06a4308_1
++-+conda-build=3.21.4=py38h06a4308_0
++-+conda-package-handling=1.7.3=py38h27cfd23_1
++-+coverage=5.5=py38h27cfd23_2
++-+cryptography=3.4.7=py38hd23ed53_0
++-+cudatoolkit=11.0.221=h6bb024c_0
++-+cycler=0.10.0=py38_0
++-+cython=0.29.23=py38h2531618_0
++-+dbus=1.13.18=hb2f20db_0
++-+decorator=4.4.2=pyhd3eb1b0_0
++-+dgl-cuda11.0=0.6.1=py38_0
++-+dill=0.3.3=pyhd3eb1b0_0
++-+expat=2.3.0=h2531618_2
++-+filelock=3.0.12=pyhd3eb1b0_1
++-+fontconfig=2.13.1=h6c09931_0
++-+freetype=2.10.4=h7ca028e_0
++-+fribidi=1.0.10=h7b6447c_0
++-+gettext=0.21.0=hf68c758_0
++-+glib=2.66.3=h58526e2_0
++-+glob2=0.7=pyhd3eb1b0_0
++-+google-auth=1.29.0=pyhd3eb1b0_0
++-+google-auth-oauthlib=0.4.4=pyhd3eb1b0_0
++-+graphite2=1.3.14=h23475e2_0
++-+graphviz=2.40.1=h21bd128_2
++-+grpcio=1.36.1=py38h2157cd5_1
++-+gst-plugins-base=1.14.0=h8213a91_2
++-+gstreamer=1.14.0=h28cd5cc_2
++-+harfbuzz=1.8.8=hffaf4a1_0
++-+icu=58.2=he6710b0_3
++-+idna=2.10=pyhd3eb1b0_0
++-+importlib-metadata=3.10.0=py38h06a4308_0
++-+intel-openmp=2021.2.0=h06a4308_610
++-+jinja2=2.11.3=pyhd3eb1b0_0
++-+joblib=1.0.1=pyhd3eb1b0_0
++-+jpeg=9b=h024ee3a_2
++-+kiwisolver=1.3.1=py38h2531618_0
++-+lcms2=2.12=h3be6417_0
++-+ld_impl_linux-64=2.33.1=h53a641e_7
++-+libarchive=3.4.2=h62408e4_0
++-+libffi=3.2.1=hf484d3e_1007
++-+libgcc-ng=9.1.0=hdf63c60_0
++-+libgfortran-ng=7.3.0=hdf63c60_0
++-+libglib=2.66.3=hbe7bbb4_0
++-+libiconv=1.16=h516909a_0
++-+liblief=0.10.1=he6710b0_0
++-+libpng=1.6.37=h21135ba_2
++-+libprotobuf=3.14.0=h8c45485_0
++-+libstdcxx-ng=9.1.0=hdf63c60_0
++-+libtiff=4.1.0=h2733197_1
++-+libuuid=1.0.3=h1bed415_2
++-+libuv=1.40.0=h7b6447c_0
++-+libxcb=1.14=h7b6447c_0
++-+libxml2=2.9.10=hb55368b_3
++-+lz4-c=1.9.2=he1b5a44_3
++-+markdown=3.3.4=py38h06a4308_0
++-+markupsafe=1.1.1=py38h7b6447c_0
++-+matplotlib=3.3.4=py38h06a4308_0
++-+matplotlib-base=3.3.4=py38h62a2d02_0
++-+mkl=2020.2=256
++-+mkl-service=2.3.0=py38h1e0a361_2
++-+mkl_fft=1.3.0=py38h54f3939_0
++-+mkl_random=1.2.0=py38hc5bc63f_1
++-+multidict=5.1.0=py38h27cfd23_2
++-+ncurses=6.2=he6710b0_1
++-+networkx=2.5.1=pyhd3eb1b0_0
++-+ninja=1.10.2=hff7bd54_1
++-+numpy=1.19.2=py38h54aff64_0
++-+numpy-base=1.19.2=py38hfa32c7d_0
++-+oauthlib=3.1.0=py_0
++-+olefile=0.46=pyh9f0ad1d_1
++-+openssl=1.1.1k=h27cfd23_0
++-+pandas=1.2.4=py38h2531618_0
++-+pango=1.42.4=h049681c_0
++-+patchelf=0.12=h2531618_1
++-+pcre=8.44=he6710b0_0
++-+pillow=8.2.0=py38he98fc37_0
++-+pip=21.0.1=py38h06a4308_0
++-+pixman=0.40.0=h7b6447c_0
++-+pkginfo=1.7.0=py38h06a4308_0
++-+protobuf=3.14.0=py38h2531618_1
++-+psutil=5.8.0=py38h27cfd23_1
++-+py-lief=0.10.1=py38h403a769_0
++-+pyasn1=0.4.8=py_0
++-+pyasn1-modules=0.2.8=py_0
++-+pycosat=0.6.3=py38h7b6447c_1
++-+pycparser=2.20=py_2
++-+pyjwt=2.0.1=pyhd8ed1ab_1
++-+pyopenssl=20.0.1=pyhd3eb1b0_1
++-+pyparsing=2.4.7=pyhd3eb1b0_0
++-+pyqt=5.9.2=py38h05f1152_4
++-+pysocks=1.7.1=py38h06a4308_0
++-+python=3.8.2=hcf32534_0
++-+python-dateutil=2.8.1=pyhd3eb1b0_0
++-+python-libarchive-c=2.9=pyhd3eb1b0_1
++-+python_abi=3.8=1_cp38
++-+pytorch=1.7.1=py3.8_cuda11.0.221_cudnn8.0.5_0
++-+pytz=2021.1=pyhd3eb1b0_0
++-+pyyaml=5.4.1=py38h27cfd23_1
++-+qt=5.9.7=h5867ecd_1
++-+readline=8.1=h27cfd23_0
++-+requests=2.25.1=pyhd3eb1b0_0
++-+requests-oauthlib=1.3.0=py_0
++-+ripgrep=12.1.1=0
++-+rsa=4.7.2=pyhd3eb1b0_1
++-+ruamel_yaml=0.15.100=py38h27cfd23_0
++-+scikit-learn=0.24.1=py38ha9443f7_0
++-+scipy=1.6.2=py38h91f5cce_0
++-+setuptools=52.0.0=py38h06a4308_0
++-+sip=4.19.13=py38he6710b0_0
++-+six=1.15.0=pyh9f0ad1d_0
++-+soupsieve=2.2.1=pyhd3eb1b0_0
++-+sqlite=3.35.4=hdfb4753_0
++-+tensorboard=2.4.0=pyhc547734_0
++-+tensorboard-plugin-wit=1.6.0=py_0
++-+threadpoolctl=2.1.0=pyh5ca1d4c_0
++-+tk=8.6.10=hbc83047_0
++-+torchaudio=0.7.2=py38
++-+torchtext=0.8.1=py38
++-+torchvision=0.8.2=py38_cu110
++-+tornado=6.1=py38h27cfd23_0
++-+typing-extensions=3.7.4.3=0
++-+typing_extensions=3.7.4.3=py_0
++-+urllib3=1.26.4=pyhd3eb1b0_0
++-+werkzeug=1.0.1=pyhd3eb1b0_0
++-+wheel=0.36.2=pyhd3eb1b0_0
++-+xz=5.2.5=h7b6447c_0
++-+yaml=0.2.5=h7b6447c_0
++-+yarl=1.6.3=py38h27cfd23_0
++-+zipp=3.4.1=pyhd3eb1b0_0
++-+zlib=1.2.11=h7b6447c_3
++-+zstd=1.4.5=h9ceee32_0
++-+pip:
++++-+aioconsole==0.3.1
++++-+lark-parser==0.6.5
++++-+lmdb==0.94
++++-+pexpect==4.6.0
++++-+progressbar2==3.39.3
++++-+ptyprocess==0.7.0
++++-+pycapnp==1.0.0
++++-+python-utils==2.5.6
++++-+sexpdata==0.0.3
++++-+tqdm==4.56.0
prefix:+/home/miranda9/miniconda3/envs/myenv|4436136|请注意，在编写本文时，执行conda+env+create+--file+environment.yml来创建yml环境会导致错误：|4436137|$+conda+env+create+--file+environment.yml

CondaValueError:+prefix+already+exists:+/home/miranda9/miniconda3/envs/myenv|4436138|entityMap^0|0|0|K|X|0|0|0|0|0|D|13|0|0^^$0|@$1|2|3|4|5|6|7|10|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|11|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|12|8|@$I|13|J|14|K|L]]|9|@]|A|$]]|$1|M|3|N|5|D|7|15|8|@]|9|@]|A|$E|F]]|$1|O|3|P|5|6|7|16|8|@]|9|@]|A|$]]|$1|Q|3|R|5|6|7|17|8|@]|9|@]|A|$]]|$1|S|3|T|5|D|7|18|8|@]|9|@]|A|$E|F]]|$1|U|3|V|5|6|7|19|8|@$I|1A|J|1B|K|L]]|9|@]|A|$]]|$1|W|3|X|5|D|7|1C|8|@]|9|@]|A|$E|F]]|$1|Y|3|-4|5|6|7|1D|8|@]|9|@]|A|$]]]|Z|$]]

If you want to do it automatically it seems that if you do:
<pre><code>conda env export &gt; environment.yml`
</code></pre>
already has the pip things you need. No need to run <code>pip freeze &gt; requirements4pip.txt</code> separately for me or include it as an
<pre><code> - pip:
 - -r file:requirements.txt
</code></pre>
as another answer mentioned.
See my yml file:
<pre><code>$ cat environment.yml
name: myenv
channels:
 - pytorch
 - dglteam
 - defaults
 - conda-forge
dependencies:
 - _libgcc_mutex=0.1=main
 - absl-py=0.12.0=py38h06a4308_0
 - aiohttp=3.7.4=py38h27cfd23_1
 - async-timeout=3.0.1=py38h06a4308_0
 - attrs=20.3.0=pyhd3eb1b0_0
 - beautifulsoup4=4.9.3=pyha847dfd_0
 - blas=1.0=mkl
 - blinker=1.4=py38h06a4308_0
 - brotlipy=0.7.0=py38h27cfd23_1003
 - bzip2=1.0.8=h7b6447c_0
 - c-ares=1.17.1=h27cfd23_0
 - ca-certificates=2021.4.13=h06a4308_1
 - cachetools=4.2.1=pyhd3eb1b0_0
 - cairo=1.14.12=h8948797_3
 - certifi=2020.12.5=py38h06a4308_0
 - cffi=1.14.0=py38h2e261b9_0
 - chardet=3.0.4=py38h06a4308_1003
 - click=7.1.2=pyhd3eb1b0_0
 - conda=4.10.1=py38h06a4308_1
 - conda-build=3.21.4=py38h06a4308_0
 - conda-package-handling=1.7.3=py38h27cfd23_1
 - coverage=5.5=py38h27cfd23_2
 - cryptography=3.4.7=py38hd23ed53_0
 - cudatoolkit=11.0.221=h6bb024c_0
 - cycler=0.10.0=py38_0
 - cython=0.29.23=py38h2531618_0
 - dbus=1.13.18=hb2f20db_0
 - decorator=4.4.2=pyhd3eb1b0_0
 - dgl-cuda11.0=0.6.1=py38_0
 - dill=0.3.3=pyhd3eb1b0_0
 - expat=2.3.0=h2531618_2
 - filelock=3.0.12=pyhd3eb1b0_1
 - fontconfig=2.13.1=h6c09931_0
 - freetype=2.10.4=h7ca028e_0
 - fribidi=1.0.10=h7b6447c_0
 - gettext=0.21.0=hf68c758_0
 - glib=2.66.3=h58526e2_0
 - glob2=0.7=pyhd3eb1b0_0
 - google-auth=1.29.0=pyhd3eb1b0_0
 - google-auth-oauthlib=0.4.4=pyhd3eb1b0_0
 - graphite2=1.3.14=h23475e2_0
 - graphviz=2.40.1=h21bd128_2
 - grpcio=1.36.1=py38h2157cd5_1
 - gst-plugins-base=1.14.0=h8213a91_2
 - gstreamer=1.14.0=h28cd5cc_2
 - harfbuzz=1.8.8=hffaf4a1_0
 - icu=58.2=he6710b0_3
 - idna=2.10=pyhd3eb1b0_0
 - importlib-metadata=3.10.0=py38h06a4308_0
 - intel-openmp=2021.2.0=h06a4308_610
 - jinja2=2.11.3=pyhd3eb1b0_0
 - joblib=1.0.1=pyhd3eb1b0_0
 - jpeg=9b=h024ee3a_2
 - kiwisolver=1.3.1=py38h2531618_0
 - lcms2=2.12=h3be6417_0
 - ld_impl_linux-64=2.33.1=h53a641e_7
 - libarchive=3.4.2=h62408e4_0
 - libffi=3.2.1=hf484d3e_1007
 - libgcc-ng=9.1.0=hdf63c60_0
 - libgfortran-ng=7.3.0=hdf63c60_0
 - libglib=2.66.3=hbe7bbb4_0
 - libiconv=1.16=h516909a_0
 - liblief=0.10.1=he6710b0_0
 - libpng=1.6.37=h21135ba_2
 - libprotobuf=3.14.0=h8c45485_0
 - libstdcxx-ng=9.1.0=hdf63c60_0
 - libtiff=4.1.0=h2733197_1
 - libuuid=1.0.3=h1bed415_2
 - libuv=1.40.0=h7b6447c_0
 - libxcb=1.14=h7b6447c_0
 - libxml2=2.9.10=hb55368b_3
 - lz4-c=1.9.2=he1b5a44_3
 - markdown=3.3.4=py38h06a4308_0
 - markupsafe=1.1.1=py38h7b6447c_0
 - matplotlib=3.3.4=py38h06a4308_0
 - matplotlib-base=3.3.4=py38h62a2d02_0
 - mkl=2020.2=256
 - mkl-service=2.3.0=py38h1e0a361_2
 - mkl_fft=1.3.0=py38h54f3939_0
 - mkl_random=1.2.0=py38hc5bc63f_1
 - multidict=5.1.0=py38h27cfd23_2
 - ncurses=6.2=he6710b0_1
 - networkx=2.5.1=pyhd3eb1b0_0
 - ninja=1.10.2=hff7bd54_1
 - numpy=1.19.2=py38h54aff64_0
 - numpy-base=1.19.2=py38hfa32c7d_0
 - oauthlib=3.1.0=py_0
 - olefile=0.46=pyh9f0ad1d_1
 - openssl=1.1.1k=h27cfd23_0
 - pandas=1.2.4=py38h2531618_0
 - pango=1.42.4=h049681c_0
 - patchelf=0.12=h2531618_1
 - pcre=8.44=he6710b0_0
 - pillow=8.2.0=py38he98fc37_0
 - pip=21.0.1=py38h06a4308_0
 - pixman=0.40.0=h7b6447c_0
 - pkginfo=1.7.0=py38h06a4308_0
 - protobuf=3.14.0=py38h2531618_1
 - psutil=5.8.0=py38h27cfd23_1
 - py-lief=0.10.1=py38h403a769_0
 - pyasn1=0.4.8=py_0
 - pyasn1-modules=0.2.8=py_0
 - pycosat=0.6.3=py38h7b6447c_1
 - pycparser=2.20=py_2
 - pyjwt=2.0.1=pyhd8ed1ab_1
 - pyopenssl=20.0.1=pyhd3eb1b0_1
 - pyparsing=2.4.7=pyhd3eb1b0_0
 - pyqt=5.9.2=py38h05f1152_4
 - pysocks=1.7.1=py38h06a4308_0
 - python=3.8.2=hcf32534_0
 - python-dateutil=2.8.1=pyhd3eb1b0_0
 - python-libarchive-c=2.9=pyhd3eb1b0_1
 - python_abi=3.8=1_cp38
 - pytorch=1.7.1=py3.8_cuda11.0.221_cudnn8.0.5_0
 - pytz=2021.1=pyhd3eb1b0_0
 - pyyaml=5.4.1=py38h27cfd23_1
 - qt=5.9.7=h5867ecd_1
 - readline=8.1=h27cfd23_0
 - requests=2.25.1=pyhd3eb1b0_0
 - requests-oauthlib=1.3.0=py_0
 - ripgrep=12.1.1=0
 - rsa=4.7.2=pyhd3eb1b0_1
 - ruamel_yaml=0.15.100=py38h27cfd23_0
 - scikit-learn=0.24.1=py38ha9443f7_0
 - scipy=1.6.2=py38h91f5cce_0
 - setuptools=52.0.0=py38h06a4308_0
 - sip=4.19.13=py38he6710b0_0
 - six=1.15.0=pyh9f0ad1d_0
 - soupsieve=2.2.1=pyhd3eb1b0_0
 - sqlite=3.35.4=hdfb4753_0
 - tensorboard=2.4.0=pyhc547734_0
 - tensorboard-plugin-wit=1.6.0=py_0
 - threadpoolctl=2.1.0=pyh5ca1d4c_0
 - tk=8.6.10=hbc83047_0
 - torchaudio=0.7.2=py38
 - torchtext=0.8.1=py38
 - torchvision=0.8.2=py38_cu110
 - tornado=6.1=py38h27cfd23_0
 - typing-extensions=3.7.4.3=0
 - typing_extensions=3.7.4.3=py_0
 - urllib3=1.26.4=pyhd3eb1b0_0
 - werkzeug=1.0.1=pyhd3eb1b0_0
 - wheel=0.36.2=pyhd3eb1b0_0
 - xz=5.2.5=h7b6447c_0
 - yaml=0.2.5=h7b6447c_0
 - yarl=1.6.3=py38h27cfd23_0
 - zipp=3.4.1=pyhd3eb1b0_0
 - zlib=1.2.11=h7b6447c_3
 - zstd=1.4.5=h9ceee32_0
 - pip:
 - aioconsole==0.3.1
 - lark-parser==0.6.5
 - lmdb==0.94
 - pexpect==4.6.0
 - progressbar2==3.39.3
 - ptyprocess==0.7.0
 - pycapnp==1.0.0
 - python-utils==2.5.6
 - sexpdata==0.0.3
 - tqdm==4.56.0
prefix: /home/miranda9/miniconda3/envs/myenv
</code></pre>
note that at the time of this writing doing <code>conda env create --file environment.yml</code> to create the yml env results in an error:
<pre><code>$ conda env create --file environment.yml

CondaValueError: prefix already exists: /home/miranda9/miniconda3/envs/myenv
</code></pre>

I work with conda environments and need some pip packages as well, e.g. pre-compiled wheels from <a href="http://www.lfd.uci.edu/~gohlke/pythonlibs/" rel="noreferrer">~gohlke</a>.

At the moment I have two files: <code>environment.yml</code> for conda with:

<pre><code># run: conda env create --file environment.yml
name: test-env
dependencies:
- python&gt;=3.5
- anaconda
</code></pre>

and <code>requirements.txt</code> for pip which can be used after activating above conda environment:

<pre><code># run: pip install -i requirements.txt
docx
gooey
http://www.lfd.uci.edu/~gohlke/pythonlibs/bofhrmxk/opencv_python-3.1.0-cp35-none-win_amd64.whl
</code></pre>

Is there a possibility to combine them in one file (for conda)?

Combining conda environment.yml with pip requirements.txt

我在conda环境中工作，还需要一些pip包，例如来自的预编译轮子。目前，我有两个文件: conda的environment.yml：# run: conda env create --file environment.ymlname: test-envdependencies:- python>=3.5- anaco...

问结合conda environment.yml和pip requirements.txt
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