Seaborn Tutorial - Walkthrough of Gallery Examples and NEW Object API - 2023

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This video covers the Seaborn Data Visualization library in Python. I cover multiple examples in the gallery. The code is recorded "live" so you can see how I try different ideas, debug the code and learn using the documentation.
I hope you enjoy the video!
Timeline:
0:00 Introduction
1:45 Overview of the Gallery Plots
2:36 Grouped Box-Plot
5:08 Scatter-Plot Heatmap
10:58 Grouped Violin Plots
15:28 Time Series Plot with Error Bands
18:45 Overlapping Densities
24:41 Dot Plot with Several Variables
32:35 Scatter-Plot with varying colors and sizes
38:00 lmPlot (scatter plot with OLS fit)
45:44 HexBin Plot with Marginal Distributions
46:54 ClusterMap
49:05 Trivariate Histogram with two Categorical Variables
52:10 Linear Regression with marginal distributions
56:10 Swarmplot
58:15 Faceted ECDF Plots
1:02:12 ANOVA Plot
1:11:23 Scatter Plot with Rug Plot
1:13:11 Walkthrough of Documentation
1:26:17 NEW Object API

[@iReaperYo]

The seaborn objects API is amazing. Follows the chaining and recipe methodology which I'm a huge fan of. Matt Harrison said only 1% of programmers use it also. Like you said this API will definitely become popular.

[@martinbel]

It's inspired in ggplot2. If you like it, you should check put plotnine as an alternative.

[@iReaperYo]

Thanks alot! couldn't find one tutorial of this API so to find a 1.5 hour comprehensive video is great.

[@martinbel]

Glad you enjoyed it. I learned a lot while recording it also.

[@gourabguha3167]

Could you share the notebook/source code..

[@martinbel]

This notebook is a bit messy, as I just wrote the code live. In any case, to learn programming it;s better to writing the code yourself, you will learn a lot more than just running a notebook.