This is guide for installing the pip packages from Python Console in Pycharm IDE.

Do not forget to run Pycharm as administrator if you are using windows OS before installing the packages.

First of all import the pacakage of pip in python console.

import pip

Installation of Package.

 pip.main(['install', '<package_name>'])

Examples
The below command will upgrade the version of package setuptools.

pip.main(['install','--upgrade','setuptools'])

The below command will install the scikit-learn and numpy packages.

pip.main(['install','numpy','scikit-learn'])

The below command will uninstall the scikit-learn package.

pip.main(['uninstall','scikit-learn'])

Like most Python IDEs these days, PyCharm creates a separate virtualenv for each project. A Virtual Environment is essentially an installation of python and various python modules that's entirely independent of the version distributed by the OS.

Alleged reason being that a lot of python modules that people want to use either aren't in official distro repositories yet or the versions are too old.

If you want to install seaborn within that venv, you'll need to install it via pip while running with that specific venv enabled, as opposed to the one you seem to have set up in ~/venv

This is depending on your project settings, the project interpreter to be specific.

The project interpreter can be set to one of the following:

• an interpreter installed globally on your system
• an interpreter in a shared virtual environment
• an interpreter in a virtual environment associated with a project

Now the approach I'd recommend would be to create a shared virtual environment where you install your packages to, and use this environment for all your project.

That way, you have the desired result of needing to install your packages only once, but still have an environment isolated from your system environment.

To create such an environment, follow these steps:

1. Settings -> Project -> Project Interpreter
2. Click the cogwheel / gear icon right-side the interpreter dropdown
3. Select "Add Local..." -> Virtualenv Environment
4. Select a path as a root directory for the new environment
5. Select base interpreter you want to use
6. Tick the checkbox "Make available to all projects"
7. Click the "OK" button to save the new environment