Example: you're trying to install a package that is not available in the Conda package manager repositories. The package cannot be installed because the package is not available in the repository that is supported by the selected package manager.

Try to install the package using super-user privileges, for example, sudo pip install. The package cannot be installed because you don't have permissions to install it. Try to create another Python interpreter that is based on the Python version that meets the requirement. The package cannot be installed because the Python version doesn't satisfy the package requirement. Open the terminal and run the following commands: Р”В¬opy or memorize the path of the virtual environment and close the dialogs.

To check the path of the currently selected Python interpreter that you were trying to install a package on, press Ctrl+Alt+S and go to Project: | Python Interpreter.Р”В®xpand the list of the project interpreters and scroll it down, then select the Show All item. Install a package on a virtual environment If you get an identical error message, then the problem is not in the IDE and you should review the rationales and typical cases, or search for a solution on the Internet. The most viable troubleshooting action is to try installing the problematic package on the selected Python interpreter using the terminal. This article provides troubleshooting tips and covers some typical cases. Eventually, most of the issues are out of IDE control as PРµСљСљharm uses the pip package manager to perform the actual installation. You might encounter a problem when installing a Python package in the project settings or in the Python Package tool window.

Conda install package in environment