Add Animated Charts To Your Dashboards With Streamlit-Python
Using ATP Tennis Ranking Data To Compare The Big Four of Tennis
Introduction
I have been thinking of trying out Streamlit for a while. So last weekend, I spent some time tinkering with it. If you have never heard of this tool before, it provides a very friendly way to create custom interactive Data web-apps for your Data Science and Machine Learning projects using Python. You can interact with the user to get inputs and display dynamic charts, tables, maps etc. Their official gallery might be a good place to start. It will give you a glimpse of what you can achieve with Streamlit. You would also find a long list of tweets from the Streamlit community going creative with the tool in their own unique ways. Do check them out for some inspiration. Streamlit can be downloaded using the pip install command (pip install streamlit).
In this article, I have shared a sample animated bar chart built using Streamlit. Although, some of the information to achieve this is available in bits and pieces, I couldn’t find much information on animated charts in one place. I hope this will help somebody who is looking to add an animated chart in their Streamlit Dashboard.
