On the Environments tab, the left column displays your environments.
In the Search Environments box, type all or part of the environment name.
- At the bottom of the environments list, click the Create button.
- In the Create Environment dialog box, type a descriptive name for the new environment.
- Select Python, R or both for a mixed environment.
- If applicable, choose a Python version for the new environment.
- Click the Create button.
When you install an R language environment, the https://anaconda.org/r channel is automatically added and made active, and a new channel automatically appears in condarc.
In the environments list, click the environment name.
Click the arrow button next to the name. The activation options dialog appears.
Select one of the following options for opening the environment: terminal, Python interpreter, IPython Console, or Jupyter Notebook.
Some of these options may not be available if they were not installed in the environment.
- Click the name of the environment you want to clone.
- At the bottom of the environments list, click the Clone button.
- Type a descriptive name for the new environment.
Each environment has a YAML-formatted configuration file. If someone has given you an environment file that you want to use, for example my-environment-file.yml, and you have saved it to your computer, you can import it into Navigator.
- At the bottom of the environments list, click the Import button.
- In the Import dialog box, type a descriptive name for the new environment.
- Click the file folder icon to browse to the YAML file, or type the file name, including its path.
- Click the Import button.
- In the environments list, click the environment you want to remove.
- At the bottom of the list, click the Remove button.
Navigator provides a convenient graphical interface for managing conda environments, channels and packages. But if you’re comfortable working with Anaconda prompt (terminal on Linux or macOS), you can access additional, advanced management features. To learn more, see Managing environments with conda.