Seaborn displot | What is the displot vs distplot? How to make a Python Seaborn distribution plot

This Seaborn displot tutorial video introduces you to one of Seaborns newest plots: the displot. Released in Seaborn 0.11.0, the displot is an updated form of the distplot. I begin by explaining the similarities and differences between these two, and then I demo the Seaborn code basics of the displot. We make a histogram, KDE plot, and an ECDF plot. I also add a rug plot to these figures. Next, I show you a new option: plotting the distributions of two variables with the displot. This is the bivariate or 2D Seaborn displot. We then walk through examples of leveraging the Seaborn FacetGrid within the displot, and I show you how to make rows or columns of figures. Finally, we explore styling the displot by passing keywords to the displot, to the underlying histplot or kdeplot, and to the underlying FacetGrid. Hope you enjoy seeing the excellent new updates to the Seaborn distribution plot and comparing the displot vs distplot!

0:00 Introduction
0:11 Seaborn displot vs distplot
1:05 Displot coding basics
4:47 Bivariate (2D) Displot
5:59 Displot FacetGrid
8:22 Styling
10:35 FacetGrid Styling
12:36 Conclusion

Github code:

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#seaborn #dataviz

[MichaelMohr-rzwf]

Couldn't be more thrilled with Dr. Fessel's videos. I've probably watched a thousand data science videos. I try to pull what I can into a Microsoft OneNote page that I can make sense of. Usually that's not as easy as it sounds. With her videos, transcripts, and github pages, she sets a standard that makes all those other experts look like bums.

[AWhite_]

How great you are creating videos about seaborn, I'm so amazed by your videos, thank you so much.

[magomedozdemirov]

Wow thanks a lot, I was wasting a lot of time on a certain problem and this vid is where I finally found a solution

[MrRoots]

cristal clear, easy !! good video, nice voice, good rythm ! good looking... im in !! Cheers and thanks

[espua]

simply amazing, with Kimberly, seaborn turns easy :)

[SUGATORAY]

Very nice presentation. I wish I stumbled upon your channel way earlier! 🎉

[shubhamtalks]

This seaborn series is amazing. I binge watched all the video. Waiting more videos...❤️

[Master_of_Chess_Shorts]

very nice presentation, nice trick at the end to customize even further with an if statement. perhaps another video on showing values and controlling bin sizes and displaying custom bin labels?

[karinabibich]

Wooow, your explanation is so sool, thanks a lot!

[jasonwoodward]

Thanks Kimberly for another 10 out of 10 video. Are you no longer producing any new content?

[ChauNguyen-wdfm]

Thank you for your video, it's really helpful. Hope your channel succeed :)

[yieldfii]

Very helpful video! Explanations are clear. Keep it up. Thank you!

[sivachaitanya]

can we do displot for all the numeric columns all at once like histplot like displot does not support subplots how can we do

[kanikaaggarwal]

I have a question. why displot always uses count as y axis. Is there any way to change it to sum?

[eatbreathedatascience]

Hi Kimberly. Is there a way to centre the plot in the Jupyter Notebook so that it is not left aligned ? Thanks very much !

[VictorViera]

greetings from colombia, I found your channel. I have a Channel to by in spanish

[marioaguilar]

Great video, as each of your uploads. New subscriber since a few days ago.
Btw, would you explain for me how can I plot two displot side by side? One for univariate kde and another one with bivariate representation? I've read the documentation but it says nothing about it. Furthermore, with other sns plots I can do that using the plt.subplot(grid rows, grid cols, subplot #) method but it does not work for displot.
Keep it up!

[joacimjohnsson]

would have been nice if a distirbution type could have been fitted to the data also

[t-m]

Video Topic Request: Seaborn Countplot, bars with rounded corners. Or plt bar charts with the same. Thanks.

[prateekkumar-uh]

What subject did you do your PhD? Can I connect over your social media ACC.? If you have any!