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conda 输出指定python环境的库 输出为 yaml文件。

有时为了项目部署，需要匹配之前的python环境，需要输出对应的python依赖库。

假设你的目标环境名为 myenv，运行以下命令：

conda env export -n myenv > myenv_environment.yml

输出的yml内容如下：

��name: myenv
channels:- defaults
dependencies:- bzip2=1.0.8=h2bbff1b_6- ca-certificates=2024.11.26=haa95532_0- libffi=3.4.4=hd77b12b_1- openssl=3.0.15=h827c3e9_0- pip=24.2=py310haa95532_0- python=3.10.16=h4607a30_1- setuptools=75.1.0=py310haa95532_0- sqlite=3.45.3=h2bbff1b_0- tk=8.6.14=h0416ee5_0- vc=14.40=haa95532_2- vs2015_runtime=14.42.34433=h9531ae6_2- wheel=0.44.0=py310haa95532_0- xz=5.4.6=h8cc25b3_1- zlib=1.2.13=h8cc25b3_1- pip:- addict==2.4.0- aiofiles==23.2.1- aiohappyeyeballs==2.4.4- aiohttp==3.11.11- aiosignal==1.3.2- altgraph==0.17.4- annotated-types==0.7.0- anyio==4.8.0- apptools==5.3.0- asttokens==3.0.0- async-timeout==5.0.1- attrs==24.3.0- blinker==1.9.0- certifi==2024.12.14- charset-normalizer==3.4.1- chumpy==0.70- click==8.1.8- colorama==0.4.6- comm==0.2.2- configargparse==1.7- configobj==5.0.9- contourpy==1.3.1- cycler==0.12.1- cython==3.0.11- dash==2.18.2- dash-core-components==2.0.0- dash-html-components==2.0.0- dash-table==5.0.0- decorator==5.2.0- defusedxml==0.7.1- dill==0.3.9- distro-info==1.0- envisage==7.0.3- exceptiongroup==1.2.2- executing==2.2.0- fastapi==0.115.8- fastjsonschema==2.21.1- ffmpy==0.5.0- filelock==3.13.1- flask==3.0.3- flatbuffers==25.2.10- fonttools==4.55.3- freetype-py==2.5.1- frozenlist==1.5.0- fsspec==2024.2.0- gradio==5.17.0- gradio-client==1.7.1- h11==0.14.0- httpcore==1.0.7- httpx==0.28.1- huggingface-hub==0.29.1- idna==3.10- imageio==2.36.1- ipython==8.32.0- ipywidgets==8.1.5- itsdangerous==2.2.0- jedi==0.19.2- jinja2==3.1.3- json-tricks==3.17.3- jsonschema==4.23.0- jsonschema-specifications==2024.10.1- jupyter-core==5.7.2- jupyterlab-widgets==3.0.13- kiwisolver==1.4.8- lazy-loader==0.4- lightning-utilities==0.11.9- lxml==5.3.0- markdown-it-py==3.0.0- markupsafe==2.1.5- matplotlib==3.10.0- matplotlib-inline==0.1.7- mayavi==4.8.2- mdurl==0.1.2- mmcv==2.2.0- mmengine==0.10.5- mpmath==1.3.0- multidict==6.1.0- narwhals==1.27.1- nbformat==5.10.4- nest-asyncio==1.6.0- networkx==3.2.1- ninja==1.11.1.3- numpy==1.23.0- open3d==0.19.0- opencv-python==4.6.0.66- opencv-python-headless==4.10.0.84- opt-einsum==3.4.0- orjson==3.10.15- packaging==24.2- pandas==2.2.3- parso==0.8.4- pefile==2023.2.7- pillow==10.2.0- platformdirs==4.3.6- plotly==6.0.0- prompt-toolkit==3.0.50- propcache==0.2.1- protobuf==4.25.6- psutil==6.1.1- pure-eval==0.2.3- py-cpuinfo==9.0.0- pycocotools==2.0.8- pycparser==2.22- pydantic==2.10.6- pydantic-core==2.27.2- pydub==0.25.1- pyface==8.0.0- pyglet==2.1.3- pygments==2.19.0- pyinstaller-hooks-contrib==2025.4- pyopengl==3.1.0- pyparsing==3.2.1- pyrender==0.1.39- python-dateutil==2.9.0.post0- python-multipart==0.0.20- pytorch-lightning==2.5.0.post0- pytz==2024.2- pywin32==308- pywin32-ctypes==0.2.3- pyyaml==6.0.2- referencing==0.36.2- regex==2024.11.6- requests==2.32.3- retrying==1.3.4- rich==13.9.4- rpds-py==0.23.1- ruff==0.9.7- safehttpx==0.1.6- safetensors==0.5.0- scikit-image==0.25.0- scipy==1.13.1- seaborn==0.13.2- semantic-version==2.10.0- sentencepiece==0.2.0- shellingham==1.5.4- six==1.17.0- smplx==0.1.28- sniffio==1.3.1- stack-data==0.6.3- starlette==0.45.3- supervision==0.18.0- sympy==1.13.1- termcolor==2.5.0- tifffile==2024.12.12- timm==1.0.12- tokenizers==0.21.0- tomli==2.2.1- tomlkit==0.13.2- torch==2.5.1+cu118- torchaudio==2.5.1+cu118- torchmetrics==1.6.1- torchvision==0.20.1+cu118- tqdm==4.67.1- traitlets==5.14.3- traits==7.0.2- traitsui==8.0.0- transformers==4.47.1- transforms3d==0.4.2- trimesh==3.6.18- typer==0.15.1- typing-extensions==4.12.2- tzdata==2024.2- ultralytics==8.3.59- ultralytics-thop==2.0.13- urllib3==2.3.0- uvicorn==0.34.0- vtk==9.4.1- wcwidth==0.2.13- websockets==14.2- werkzeug==3.0.6- widgetsnbextension==4.0.13- yacs==0.1.8- yapf==0.43.0- yarl==1.18.3
prefix: D:\Users\admin\anaconda3\envs\myenv