Interactive Timeline Visualizations

This tool leverages the amazing vis-timeline library (https://visjs.github.io/vis-timeline/docs/timeline/) to provide interactive visualizations.

Installation

pip install pyvis-timeline

Sample Usage

>>> from pyvis_timeline import timeline, dataset
>>> df = dataset().load_as_df("COVID19_Variants_Date_of_Designation")
>>> timeline(title='COVID-19 Variants - Date of Designation').add_df(df).show('output.html')

Sample Screenshot

COVID-19 Variants Designation Timeline as of 2021-11-27