Seaborn heatmap | How to make a heatmap in Python Seaborn and adjust the heatmap style
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The Seaborn heatmap is a simple visual that allows you to display tables of data through color. This Seaborn heatmap tutorial motivates the use of heatmaps and explains how to make a heatmap in Python Seaborn. Using an example pandas dataframe, I describe the basics of building a Seaborn heatmap, how to transpose a heatmap, and how to use pandas and Seaborn to create a correlation matrix heatmap. I discuss the importance of choosing a good color palette and how you can change the Seaborn heatmap color. I show you how to add Seaborn heatmap annotations as well as how to change the format of your annotations to remove scientific notation. Lastly, I provide additional styling tips to change the Seaborn heatmap tick labels and draw lines between the heatmap rectangles.
0:00 Introduction and overview
0:49 Heatmap Basics
5:35 Color Palette
7:48 Annotations
10:25 Additional Styling
11:47 Conclusion
Github code:
https://github.com/kimfetti/Videos/blob/master/Seaborn/11_heatmap.ipynb
#seaborn #dataviz
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Hi thank you for your video, i learnt alot from it. however, i am trying to include more than 2 paramters into the heatmap now, which I am having difficulties with. For example, i want to group by origin and model, while looking at the values for cylinders and displacement in the heatmap. Could i get some advice whether it is possible?
Thanks Kim,
God bless you.
Thank you for the wonderful explanation. Can you please make a next video on how to save the plot as image or pdf?
Boxes in my heatmap are cut off from the top and bottom. any solution to that?
Really useful for me as i thought making Heatmaps were difficult but it made it very easy
fantastic ! what a video !!!