Introduction to Seaborn | How seaborn Python works with matplotlib along with seaborn and pandas
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This first video of my “Introduction to Seaborn” series covers the basics of seaborn, a Python library for data visualization. Here, I discuss seaborn installation, seaborn vs matplotlib, how you can use seaborn and pandas, and conclude with a gallery of seaborn Python examples.
Each subsequent video in this series examines a specific seaborn plot type or aspect.
0:00 About this series
1:15 How to install and import seaborn
1:58 How seaborn updates matplotlib
4:48 How seaborn integrates with pandas
6:37 Gallery of examples
Github code:
https://github.com/kimfetti/Videos/blob/master/Seaborn/01_Seaborn_Intro.ipynb
#seaborn #dataviz
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Hi, I liked your channel. Have one question if you can take up- How can I draw stacked bar plot in one line of code in Seaborn?
something similar I can do in pandas plot function e.g. df_states.plot.bar(stacked=True, figsize=(20,10), grid=False, title="Cousines By State");
The best, absolutely. Clear and so direct.
Thank you for this great tutorial. The best Seaborn course I found. Will you create als a video about the seaborn fig-level function like relplot(), displot() and catplot()?
Best Regards
Torsten
Very good ! Tks !
THNAK YOU. This is exactly what I need and want.
I am an analysts who wants to move fully to Python going away from Tableau/Alteryx.
Nice series. Visualisation is an integral part of (data) science. Two book suggestions for the viewers, Tufte and Wilkinson.
* https://www.amazon.com/Envisioning-Information-Edward-R-Tufte/dp/0961392118
* https://www.amazon.com/Grammar-Graphics-Statistics-Computing/dp/0387245448 This is where ggplot gets the ideas and partly seaborn too.