Create interactive calendars with heatmaps using Plotly
Plotly is one of the most comprehensive Python libraries for creating visualizations. This library offers many predefined visualizations useful for most data analyses. These visualizations are highly customizable, allowing us to be more creative in visualizing our insights and even to implement new visualizations.
In this article, we will explain step-by-step how to use Plotly to create a calendar where all the holidays in Barcelona for 2024 can be visualized. The calendar will be interactive, providing information about the different holidays in the city through hover-overs. As the article shows, although Plotly does not have a built-in visualization for creating calendars, starting from a heatmap and a bit of imagination, this type of visualization can be easily implemented.
Calendars in Plotly allow for more customization than those created with predefined tools. Additionally, one of the major advantages is that they can be integrated into Jupyter notebooks, for example, to conduct temporal analyses within these notebooks. Additionally, hover overs can be customized according to the needs of our analysis. Another great advantage compared to predefined tools is that Plotly is completely free…