2021 Austrian GP - Lap Time Heat Map (pit stops and outliers removed; see comments)

• seaborn

  76 11,946 8.5 Python

  Statistical data visualization in Python

Thanks! Got the data from Ergast. The image was rendered using a Python library called Seaborn. It's actually surprisingly easy to use and their website has tons of examples and helpful reference material. I also used the matplotlib library which kind of works in tandem with seaborn to plot chart elements.

• Pandas

  393 41,923 10.0 Python

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  

I shaped the data using the pandas library, which is, again, very easy to use. Their website also has tons of helpful reference material.

• WorkOS

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  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

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