PyConDe 2018 - Interactive Visualization of Traffic Data using Bokeh

Set Up

For this tutorial, you will need a setup with some additional Python packages. On my machine, I had issues with installing a Python3 environment with GeoPandas, therefore I use legacy Python. If you use Anaconda, you can use the Anaconda bash shell to setup an environment with name Python27_TrafficVisualization and all necessary dependencies via:

1. Download or clone the content of this repository to your local machine.

2. Change your working directory to the folder of the cloned repository:

        cd /path/to/your/directory
   

3. Open the (Anaconda) Terminal and create virtual environment via:

        conda env create -f requirements.yml
   

4. Activate environment via:

        conda activate Python27_TrafficVisualization
   

5. Start Jupyter Notebook Server via:

        jupyter notebook
   

6. Open Notebook "PyConDe 2018 - Interactive Visualization of Traffic Data.ipynb"

All necessary data for the execution of the notebook can be downloaded by evaluating the cell in the "Download Data" Section of the Notebook (~ 12 GB).