Interactive Controls — An Underrated Jupyter Gem That Deserves More Attention

While using Jupyter, one often finds themselves in situations where they repeatedly modify a cell and re-rerun it.

This makes data exploration irreproducible and time-consuming.

What’s more, the notebook also gets messy and cluttered.

To address this, one of the things I actively leverage in my Jupyter notebooks is interactive controls using IPywidgets.

A single decorator (@interact) allows us to add:

• sliders

• dropdowns

• text fields, and more.

As a result, one can:

• explore the data interactively

• speed-up data exploration

• avoid repetitive cell modifications and executions

• organize the data analysis.

A quick demo is shown below:

As demonstrated above, the decorator adds sliders, dropdowns, etc., greatly reducing the clutter that would have happened otherwise.

Want to try this out?

I prepared this Jupyter Notebook for you to get started: Interactive Controls Notebook.

👉 Over to you: What are some other ways to elegantly explore data in Jupyter that you are aware of?

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