/Understanding-the-Seaborn-heatmap-function

13 Ways to Customize Correlation Matrix Visualizations

Primary LanguageJupyter Notebook

Understanding-the-Seaborn-heatmap-function

This is a tutorial for the purpose of dissecting the seaborn.heatmap() function. The arguments were broken down into 4 parts which are

  • The Essentials
  • Adjusting the axis(measurement)
  • Asthestics
  • Changing the matrix shape

In the google colab notebook above, although there are 18 arguments in total in the functions, 13 arguments were explored.

Click here to view the article accompanied with the code

For more info, see the documentation here