AutoProfiler: Automatically Profile Pandas DataFrame as You Work

Pandas AutoProfiler: Automatically profile Pandas DataFrames at each execution, without any code.

AutoProfiler is an open-source DataFrame analysis tool in Jupyter. It reads your notebook and automatically profiles every DataFrame in memory as you change/create them.

In other words, if you modify an existing DataFrame, AutoProfiler will automatically update its corresponding profiling.

Moreover, if you create a new DataFrame (say from an existing DataFrame), AutoProfiler will automatically profile that as well, as shown below:

Profiling info includes column distribution, summary stats, null stats, and many more.

Lastly, you can also generate the corresponding code, with its export feature.

Isn’t that cool?

Find more info here: GitHub Repo.

👉 Over to you: What are some other cool Jupyter tools that you are aware of?

👉 If you liked this post, don’t forget to leave a like ❤️. It helps more people discover this newsletter on Substack and tells me that you appreciate reading these daily insights. The button is located towards the bottom of this email.

Thanks for reading!

Latest full articles

If you’re not a full subscriber, here’s what you missed last month:

• Model Compression: A Critical Step Towards Efficient Machine Learning.

• Generalized Linear Models (GLMs): The Supercharged Linear Regression.

• Gaussian Mixture Models (GMMs): The Flexible Twin of KMeans.

• Bayesian Optimization for Hyperparameter Tuning.

• Formulating the PCA Algorithm From Scratch.

• Where Did The Assumptions of Linear Regression Originate From?

To receive all full articles and support the Daily Dose of Data Science, consider subscribing:

👉 Tell the world what makes this newsletter special for you by leaving a review here :)

👉 If you love reading this newsletter, feel free to share it with friends!