ipyvizzu - Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax
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ipyvizzu is an animated charting tool for Jupyter,
Google Colab,
Databricks,
Kaggle and Deepnote
notebooks among other platforms. ipyvizzu enables data scientists and analysts
to utilize animation for storytelling with data using Python. It's built on
the open-source JavaScript/C++ charting library
Vizzu.
There is a new extension of ipyvizzu,
ipyvizzu-story with which the
animated charts can be presented right from the notebooks. Since
ipyvizzu-story's syntax is a bit different to ipyvizzu's, we suggest you to
start from the ipyvizzu-story repo
if you're interested in using animated charts to present your findings live or
to share your presentation as an HTML file.
Similarly to Vizzu, ipyvizzu utilizes a generic dataviz engine that
generates many types of charts and seamlessly animates between them. It is
designed for building animated data stories as it enables showing different
perspectives of the data that the viewers can easily follow.
Main features:
- Designed with animation in focus;
- Defaults based on data visualization guidelines;
- Works with
Pandasdataframe, while alsoJSONand inline data input is available; - Auto scrolling feature to keep the actual chart in position while executing multiple cells.
pip install ipyvizzuVisit Installation chapter for more options and details.