在Anaconda（Conda）环境中如何跟踪pip-installed软件包？ [英] How do I keep track of pip-installed packages in an Anaconda (Conda) environment?

问题描述

我已经安装并使用了 Anaconda Python发行版，我已经开始使用Anaconda（Conda）环境。我可以使用标准的 conda install ... 命令将程序包从配置文件放入我的环境中，但是可以使用外部任何东西（即Flask-WTF，flask-sqlalchemy和alembic）我需要在活动环境中使用 pip install 。但是，当我在目录中查看环境的内容时，或者使用 conda list 这些 pip install ed包不显示。

I've installed and have been using the Anaconda Python distribution, and I have started using the Anaconda (Conda) environment. I can use the standard conda install... command to put packages from the distribution into my environments, but to use anything outside (i.e. Flask-WTF, flask-sqlalchemy, and alembic) I need to use pip install in the active environment. However, when I look at the contents of the environment, either in the directory, or using conda list these pip installed packages don't show up.

使用 pip冻结和 pip列表仅列出每个我曾经安装过的包

Using pip freeze and pip list just lists every package I've ever installed.

有没有办法跟踪我的每个Anaconda中的内容？code> cv（$ pip 和 conda 安装）？

Is there a way to keep track of what is in each of my Anaconda envs (both pip and conda installed)?

推荐答案

conda-env 现在自动执行此操作（如果使用conda安装了pip）。

conda-env now does this automatically (if pip was installed with conda).

您可以使用用于迁移环境的导出工具来了解它的工作原理： p>

You can see how this works by using the export tool used for migrating an environment:

conda env export -n <env-name> > environment.yml

该文件将列出两个conda包和pip包：

The file will list both conda packages and pip packages:

name: stats
channels:
  - javascript
dependencies:
  - python=3.4
  - bokeh=0.9.2
  - numpy=1.9.*
  - nodejs=0.10.*
  - flask
  - pip:
    - Flask-Testing

如果您希望通过导出环境进行跟踪，请移动 environment.yml 到新的主机，然后运行：

If you're looking to follow through with exporting the environment, move environment.yml to the new host machine and run:

conda env create -f path/to/environment.yml

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