So far, all there is in this repo is an implementation of PEM as well as a short example on how to work with the scipy signal processing toolbox and make some plots.
I assume you have python 3.8 or later installed on your computer.
Install virtualenv if not already installed. This is done by typing pip install virtualenv in your terminal.
Open terminal and navigate to your time-series directory. Type python -m venv tsa to create the virtual environment
In the newly created directory, there is a bin-folder. Among other things, this contains an activation script: <tsa-folder>/bin/activate. Type source <path-to-activate-file> to activate your virtual environment.
Tip! You can create an alias for this step. If you're on mac, you can open the file ~/.bash_profile and add a line: alias tsa="source <path-to-activate-file>". Next time you open terminal, you only need to write "tsa" to activate the virtual environment.
Navigate to the root of this project and type pip install -r requirements.txt followed by pip install --editable ..
Now, when you're in this virtual environment you can always import files from this repo, where ever you are on the computer.
Read the contributing.md file before pushing code.