How to Create The Elegant Moving Bubbles Chart in Python?
...in just three lines of code.
I often come across the moving bubbles chart when I am scrolling LinkedIn.
I am sure you would have seen them too.
It is elegant animation that depicts the movements of entities across time. They are particularly useful for determining when clusters appear in the data and at what state(s).
I always wondered how one can create them in Python.
Turns out, there’s a pretty simple way to do it just three lines of Python using D3Blocks.
The library utilizes the graphics of the popular d3js Javascript library to create visually appealing charts with only a few lines of Python code.
To create a moving bubbles chart, you can use the d3.movingbubbles() method.
The input should be a Pandas DataFrame. Each row should represent the state of a sample at a particular timestamp, as depicted below:
After aligning the DataFrame in the desired format, you can create the moving bubbles chart as follows:
This will create an HTML file. You can preview it in a browser or open it in Jupyter directly using the IPython library.
Isn’t that cool?
👉 Over to you: What other charts do you love creating in Python?
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Very usefull, thank you.
very informative, thank you !