Python package for Time Series Analysis course at LTH.

Written by Filipp Lernbo.

Installation

I assume you have python 3.8 or later installed on your computer.

1. Create virtual environment

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_venv to create the virtual environment

2. Activate 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.

3. Install this package

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.

Contributing

Read the CONTRIBUTING.md file before pushing code.