Plotly is one of the most comprehensive Python libraries for creating visualizations. This library offers many pre-built visualizations useful for most data analysis. These visualizations are highly customizable, allowing us to be more creative in visualizing our insights and even implement new visualizations.
In this article we will explain step by step how to use Plotly to create a calendar where you can visualize all the holidays in Barcelona for the year 2024. The calendar will be interactive, offering information about the different holidays in the city by using the cursor over it. As the article shows, although Plotly does not have an integrated visualization to create calendars, starting from a heat map and a little imagination, you can easily implement this type of visualization.
Plotly calendars allow for greater customization than those created with predefined tools. In addition, one of the great advantages is that they can be integrated into Jupyter Notebooks, for example, to perform temporal analysis within these notebooks. In addition, hover overs can be customized according to the needs of our analysis. Another great advantage over predefined tools is that Plotly is completely free…
