This directory contains examples of different visualizations to help get you started. All the examples are IPython Notebooks, which means that you can open them and observe the code and its output next to each other right in GitHub. More detailed documentation—including a full list of supported arguments—is available at the documentation site.
If you want to learn everything there is to know about Multiplex, start from the top: 1. Getting started. Where possible, all examples are self-contained. Therefore if you are looking for a particular type of visualization, you can jump ahead.
Most importantly, the code in the notebooks is purposefully simple to help you get started right away. Feel free to copy-and-paste the sample code and build on it: telling your story your way is what matters.
- 0. Styles - An overview of the styles provided in Multiplex
- 1. Getting started - A very short tutorial to acquaint you with how Multiplex works
- 2. Text - A series of examples of Multiplex's text visualizations, demonstrating how you can use Multiplex to annotate text
- 3. Time series - Examples using Multiplex's time series, which make it easier to plot and explain how data changes over time
- 4. Network graphs - Examples using Multiplex's new network graph visualization, which can be used to plot networks
- 5. Bar charts - Examples using Multiplex's new bar chart visualizations, which make it easier to create more complex bar charts
- 6. Slope graphs - An introduction to Multiplex's slope graph visualizations, which show how data changes