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Python Package for the Time Series Analysis Course at LTH

Installation

This package has been tested with Python 3.12 and 3.14. Before running the project, make sure the following dependencies are installed in your Python environment (either global or within a virtual environment):

  • numpy
  • pandas
  • scipy
  • matplotlib
  • statsmodels
  • filterpy
  • soundfile

Option 1: Clone the Repository (Recommended)

  1. Install Git.

  2. Open Git Bash (or your preferred terminal) and navigate to the folder where you want to place the project:

    cd path/to/your/folder
  3. Clone the repository:

    git clone https://github.com/andreasjak/TimeSeriesAnalysis.git

Option 2: Download as ZIP

Alternatively, you can download the project folder as a ZIP file directly from GitHub and extract it to your chosen location.

Once installed or downloaded, you can run your projects directly from within the folder.

Note

You can also install the package as a local editable library using pip, but note that this method has not yet been fully tested:

pip install -e path/to/TimeSeriesAnalysis

Contributing

Before contributing or pushing any code, please read the CONTRIBUTING.md file.

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Pyhton code for the course on Time Series Analysis at Lund University.

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