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Seaborn Tutorial : Seaborn Full Course 

Derek Banas
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This video provides complete coverage of Seaborn with many real world examples. Seaborn is a data visualization library built on top of Matplotlib. Seaborn is often used because it makes attractive visualizations and works easily with Pandas and NumPy.
While with Matplotlib you often have to write multiple lines of code to create a plot, Seaborn makes assumptions on what you want which often translates into getting the same plot with 1 line of code.
If you want a video that condenses the whole Seaborn API and all that it can do into 1 video with a ton of examples, then this video is for you.
I cover most everything you'll learn by reading the API here. Next I'll cover SciPy, StatsModels, Plotly, Cufflinks, Scikit-learn, TensorFlow, PyTorch, Keras, Scrapy, Linear Algebra, Calculus and more. CLICK THE NOTIFICATION BELL
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TABLE OF CONTENTS
00:00 Intro
00:28 Setup
02:17 Import Data & Datasets
04:22 Distribution Plot
06:53 Joint Plot
08:19 Hexagon Distribution
08:36 KDE Plot
09:06 Pair Plot
12:05 Rug Plot
13:05 Styling
17:42 Bar Plot
19:35 Count Plot
20:41 Box Plot
23:17 Violin Plot
24:42 Strip Plot
26:50 Swarm Plot
28:07 Palettes
32:18 Heatmaps
38:33 Cluster Map
42:11 Pair Grid
46:57 Facet Grid
54:47 Regression Plots
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29 июн 2024

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Комментарии : 197   
@derekbanas
@derekbanas 3 года назад
00:00 Intro 00:28 Setup 02:17 Import Data & Datasets 04:22 Distribution Plot 06:53 Joint Plot 08:19 Hexagon Distribution 08:36 KDE Plot 09:06 Pair Plot 12:05 Rug Plot 13:05 Styling 17:42 Bar Plot 19:35 Count Plot 20:41 Box Plot 23:17 Violin Plot 24:42 Strip Plot 26:50 Swarm Plot 28:07 Palettes 32:18 Heatmaps 38:33 Cluster Map 42:11 Pair Grid 46:57 Facet Grid 54:47 Regression Plots
@md.ashikmahamud5412
@md.ashikmahamud5412 3 года назад
Dear Sir, I can not find the CSV file for practicing. would you please tell me how do I get this file??
@vamsikrishna4107
@vamsikrishna4107 3 года назад
@@md.ashikmahamud5412 put the csv file in the same folder of your project.
@ahmadlakunle9607
@ahmadlakunle9607 3 года назад
@@md.ashikmahamud5412 check github.com and search for the csv file then download, copy then paste to the jupyter folder
@texasfossilguy
@texasfossilguy 2 года назад
Great tutorial. Appreciate you going into detail on the various options.
@adamfattal9602
@adamfattal9602 3 года назад
If you're looking at the comments to see if this is worth your time, I can assure you that it is. Loads of value obtained from this video! Great job.
@derekbanas
@derekbanas 3 года назад
Thank you for the nice compliment :) I tried to do my best
@leonghchan
@leonghchan 3 года назад
Very well explained at a great pace. I gained a lot from this 1 hour tutorial. Thank you!
@alexiaciarfella2640
@alexiaciarfella2640 2 года назад
Thank you so much for taking the time to make this video! Great introduction to data visualization, will be using my learnings for my M.S. thesis!
@mr.fakeman4718
@mr.fakeman4718 3 года назад
I've read the video's description. I've seen linear algebra and calculus too. You will be a life saver, Derek. Keep it up!
@derekbanas
@derekbanas 3 года назад
I'm trying to do my best 😁
@rajav4861
@rajav4861 3 года назад
Thanks a LOT Derek! Have been waiting for this one! You are a LEGEND🙏
@derekbanas
@derekbanas 3 года назад
I'm very happy that I could help! Plotly is next
@campus_code_chronicles
@campus_code_chronicles Год назад
S tier tutorial, fast and to the point. Love your content Derek. Thank you!
@user-ez6ft5pb3i
@user-ez6ft5pb3i 3 месяца назад
I just completed your MatplotLib tutorial. It was great. I created a complete file of all you demonstrated. This satisfied two objectives. (1) I learned by doing and (2) by adding comments to the code as I went it will be a reference on how to do things in the future. Excellent class - keep up the good work (I'm starting the Seaborn tutorial now.
@mschuer100
@mschuer100 Год назад
This is probably the greatest tutorial I have watched. Great work, and thank you for putting the time into this!
@derekbanas
@derekbanas Год назад
Thank you for taking the time to tell me you liked it :) I appreciate it!
@Wowjustwowjustwow
@Wowjustwowjustwow 3 года назад
10:22 the total bill was 16.99, so the extra cent makes it an even bill. loved the video, very useful
@aicegaming8132
@aicegaming8132 2 года назад
Amazing tutorial. It helped me step up my exploratory data analisis, specially the pair+facet grid.
@HalfEatenMushroom
@HalfEatenMushroom 3 года назад
This intro to Seaborn is amazing. Thank you so much for this!
@derekbanas
@derekbanas 3 года назад
Thank you very much :) Happy I could help
@Iamine1981
@Iamine1981 3 года назад
Just found out you had this selection of lectures on Python package functionalities and they rock big time! Thanks for the work you put into them and I look forward to other ones.
@derekbanas
@derekbanas 3 года назад
Thank you Happy to be of help :)
@purple1503
@purple1503 23 дня назад
Excellent tutorials and to the points. Loving it the way you explain. Thank you, Derek.
@disinclinedto-state9485
@disinclinedto-state9485 2 года назад
Great tutorial, thanks. Pretty close to perfect balance between describing too much and not describing enough... didn't feel like any of my time waste wasted, nor was I left confused. Cheers.
@igniculus_
@igniculus_ 3 года назад
Wow ... Thank you so much again ... I was looking for both latest matplotlib and seaborn tutorial ... You did both !!!! What a coincidence !!!
@derekbanas
@derekbanas 3 года назад
Thank you 😁 Plotly is coming next so we can interact with our plots!
@igniculus_
@igniculus_ 3 года назад
Omg i was about to ask the same !!!! 🔥🔥🔥 Thank you so much !!!!
@rajkundaliya7796
@rajkundaliya7796 2 года назад
It couldn't have been better!!! You are a legend! Perfect pace, well at least for me
@derekbanas
@derekbanas 2 года назад
Thank you for taking the time to tell me you enjoyed it :) I appreciate it!
@AlidelOro
@AlidelOro 2 года назад
Thanks Derek. very helpful content especially the narration style is friendly and enhances the ability to absorb more information from what's being said!! Thanks a lot.
@derekbanas
@derekbanas 2 года назад
Thank you :) I'm very happy that you enjoyed it
@AlidelOro
@AlidelOro 2 года назад
@@derekbanas I'm learning Data Science and Business Analytics. Saw your tutorial first time, subscribed now and hopefully will find more such amazing content. Really appreciate your efforts Man. Cheers!
@andrealcantara1437
@andrealcantara1437 3 года назад
Great tutorial man! Helped me a lot!
@emilyemily6246
@emilyemily6246 2 года назад
Very well done tutorial! Thank you so much, you deserve a thumb up!
@derekbanas
@derekbanas 2 года назад
Thank you :) I'm happy I could help
@neelpatel8472
@neelpatel8472 2 года назад
One of the best !!!! Really enjoyed watching this.
@SethuramKishore
@SethuramKishore Год назад
Amazing content, simple and straight to the point. Thank you!
@derekbanas
@derekbanas Год назад
Thank you for taking the time to tell me you found it useful
@neptunesbounty1786
@neptunesbounty1786 3 года назад
A very detailed, organised and concise tutorial - Kudos.
@derekbanas
@derekbanas 3 года назад
Thank you for taking the time to write me a nice message 😁 I appreciate it
@odraudenoel
@odraudenoel 3 года назад
Awesome tutorial, thanks a million times!
@siyays1868
@siyays1868 2 года назад
Thanku so much Derek for a wonderful seaborn tutorial. It was in-depth,interesting.🥰
@derekbanas
@derekbanas 2 года назад
Thank you for taking the time to tell me you enjoyed it :) I appreciate it!
@jamesjohnathan4424
@jamesjohnathan4424 3 года назад
Hi Derek nice explanatory video. I'm wondering if you can make a tutorial on scikit learn. It would be a big help. Since your explanations are well fitted in my head. lol
@dr.sandeepprabhu9014
@dr.sandeepprabhu9014 3 месяца назад
One of the best videos on seaborn
@shayanmirgilani6185
@shayanmirgilani6185 3 года назад
Great tutorial. would you please do another tutorial and teach multiple sub-plots using Matplotlib and Seaborn. (use for loop to plot )
@narad1961
@narad1961 3 года назад
this is an awesome tutorial on Seaborn! Thanks a lot
@derekbanas
@derekbanas 3 года назад
Thank you for the nice compliment :)
@tamalmajumder7160
@tamalmajumder7160 3 года назад
Thanks a LOT Derek SIR! You are a LEGEND🙏
@nitowl8515
@nitowl8515 11 месяцев назад
thank you so much for this course, dude!
@Ahmed-lc2mu
@Ahmed-lc2mu 3 года назад
Thank you soo much, Thank you soo much, It help me a lott You are a Legend....
@engrmonirulislam9688
@engrmonirulislam9688 3 года назад
Great lesson for all. Thanks a lot.
@user-zd6so7up8r
@user-zd6so7up8r 2 года назад
Amazing teaching. Thank you!
@ahmadzulfadhli1500
@ahmadzulfadhli1500 3 года назад
Great video Derek!!
@derekbanas
@derekbanas 3 года назад
Thank you very much :)
@Owlzon
@Owlzon 2 года назад
Very clear !!! Thank you so much.
@luctiber
@luctiber 3 года назад
Awesome Derek ! Thanks
@jariuslouie
@jariuslouie 3 года назад
Hi! How are you? I hope you are doing well. I can’t believe that I just found your channel today. Thank you very much for all your content.
@derekbanas
@derekbanas 3 года назад
I'm always doing great even with a broken foot :) I hope you are doing well also. I'm very happy that you are enjoying the videos
@ktswjp
@ktswjp Год назад
Superb quality!
@joashcolaco253
@joashcolaco253 3 года назад
This video was awesome! Thank you so much :)
@derekbanas
@derekbanas 3 года назад
Thank you very much :)
@katet4634
@katet4634 Год назад
Thanks Derek! Awesome video!
@derekbanas
@derekbanas Год назад
Thank you :) I'm happy I could help
@dataanalyticswithmichael8931
@dataanalyticswithmichael8931 2 года назад
Nice tutorial, seaborn is one of my favourite labrary
@LiquidMasti
@LiquidMasti 2 года назад
I love the way you say data.
@imranyasin7537
@imranyasin7537 2 года назад
Excellent video! Thank you very much
@jeffwizz1482
@jeffwizz1482 Год назад
As usually, amazing thanks a lot :)
@wherethesidewalkends949
@wherethesidewalkends949 2 года назад
really desperately needed you to use that csv dataset!
@upgraduate
@upgraduate 2 года назад
Very nice crash course on seaborn, looking for more videos like this.
@derekbanas
@derekbanas 2 года назад
Thank you :) I have one for pretty much every data science library
@marinarosell5022
@marinarosell5022 2 года назад
This is amazing, thanks!
@viniciusoviedo
@viniciusoviedo 3 года назад
Amazing video !! Thanks for sharing your knowledge =)
@derekbanas
@derekbanas 3 года назад
Thank you for the nice compliment :) I'm happy I could help
@ThirumaleshHS1
@ThirumaleshHS1 3 года назад
Wow you’re a true legend. Keeping up the promise to teach the community is very hard, yet you always ensure to achieve it. Thanks a ton. I will checkout this video. Also I checked the description of this video and one of the next items mentioned therein was Scrapy, May I ask if you could start with base as BeautifulSoup and then build on scrapy? Because BeautifulSoup is simple yet powerful, it forces the programmer to do all the work with good understanding of web scraping. Also another request. Once you find time please check the possibilities of making tutorial on PyQtGraph. Thanks😇
@derekbanas
@derekbanas 3 года назад
I do my best to fulfill promises :) Yes I think BeautifulSoup would be great to cover. I've made videos on it in the past, but they could use an update. I'm looking into PyQtGraph
@ThirumaleshHS1
@ThirumaleshHS1 3 года назад
Derek Banas thanks 😊
@digigoliath
@digigoliath 3 года назад
Awesome!!! TQVM!!
@mahdizare3226
@mahdizare3226 6 месяцев назад
it was so perfect and useful good luck
@garethedwards6781
@garethedwards6781 Год назад
Great tutorial, dude. Helped me a lot
@derekbanas
@derekbanas Год назад
Thank you :) I'm very happy that I could help
@troniclt5752
@troniclt5752 3 года назад
Legit, awesome work.
@derekbanas
@derekbanas 3 года назад
Thank you 😁
@iuliatomescu134
@iuliatomescu134 2 года назад
Really good tutorial!
@alonealien2523
@alonealien2523 4 месяца назад
good explanation!
@prajwalsatannavar4576
@prajwalsatannavar4576 Год назад
Thank u...Its really awesome...
@maynoaria6361
@maynoaria6361 2 года назад
You are amazing. Thank you!
@derekbanas
@derekbanas 2 года назад
You are very kind :) Happy I could help
@SlazeM7
@SlazeM7 3 года назад
Thanks, Derek. Very Cool!
@derekbanas
@derekbanas 3 года назад
I'm very happy you liked it :)
@SlazeM7
@SlazeM7 3 года назад
@@derekbanas Can't wait for the plotly video!
@arunavnanda7
@arunavnanda7 3 года назад
Hey Derek! I just wanted to know how to show whiskers in boxplot as standard deviation and not as a percentile division?
@derekbanas
@derekbanas 3 года назад
You can manipulate the whiskers using the whis parameter seaborn.pydata.org/generated/seaborn.boxplot.html
@sidindian1982
@sidindian1982 Год назад
Excellent Presentation on Seaborn Sir 🙂 ,,.,.. I am your latest subscriber
@DaudiMazengoMasterDTEM
@DaudiMazengoMasterDTEM 5 месяцев назад
Very nice. Big up
@bluetaurean
@bluetaurean 2 года назад
Fantastic tutorial.
@derekbanas
@derekbanas 2 года назад
Thank you very much :)
@Emma-mu7kj
@Emma-mu7kj 3 года назад
thanks mr. for this video
@GrandZangoule
@GrandZangoule 4 месяца назад
Thanks!
@parth.mandaliya
@parth.mandaliya 2 года назад
Can you please show how to plot recision boundary with multiple features? Or how to plot linear regression with multiple features?
@sfodjknfwoa
@sfodjknfwoa 2 года назад
thank you!
@moshestark9693
@moshestark9693 3 года назад
Very useful. Amazing' thank you so much for this
@derekbanas
@derekbanas 3 года назад
Thank you very much :)
@photosynthesis_by_pete4006
@photosynthesis_by_pete4006 3 года назад
Top class. From Australia with love. KUDOS
@derekbanas
@derekbanas 3 года назад
Thank you very much :)
@koteshgoud4508
@koteshgoud4508 10 месяцев назад
very big thank u sir ❤❤
@didierleprince6106
@didierleprince6106 Год назад
Superbe ! 😊
@nerjap6214
@nerjap6214 2 года назад
Thank you so much
@skerody
@skerody 3 года назад
Hi Derek, Good Morning!!!! I'm not getting Legend on the graph / chart. pls let me know what setting / what inline command i need to use for getting legend on the plot.
@9zQx86LT
@9zQx86LT 3 года назад
awesome !
@andreazecchi812
@andreazecchi812 3 года назад
Always the best, in the world! 💯💯💯💯
@derekbanas
@derekbanas 3 года назад
Thank you very much :) I always try to do my best
@user-gi8xk4ou4u
@user-gi8xk4ou4u 3 года назад
Hi, Derek. I want to thank you for your great work, it saved me a lot of time! But I also have a question - when I'm tryint to set a sns style, I'm getting an error: 'str' object is not callable. Do you have any idea, how to deal with it?
@hammadalamsiddique3730
@hammadalamsiddique3730 Год назад
may be you passed dataframe variable as a string
@dhivya_animal_lover
@dhivya_animal_lover 2 года назад
I appreciate your video for us :) THank you :)
@derekbanas
@derekbanas 2 года назад
I’m very happy to be of help :)
@hsinghal1
@hsinghal1 2 года назад
Thanks, That is great
@derekbanas
@derekbanas 2 года назад
Thank you very much :)
@spencerbaumrukey1899
@spencerbaumrukey1899 Год назад
10:22 "who tips 1 dollar and 1 cent?" rows 0 and 1 tipped to round the total_bill+tip to an even number AKA the best way to tip. In fact, 24.59% of the dataset tipped to an even number
@mosihn-zj9gg
@mosihn-zj9gg 12 дней назад
thanks ❤
@janabark6415
@janabark6415 3 года назад
Thank you so much for the content I subscribed to. Is it possible to assign a palette to the Hexagon Distribution chart? I tried it like this: g = sns.jointplot( x = "Price" , y = "Rank" , data = df , kind = "hex", height=10, palette= "husl") -- but the palette didn't worked, colours did not changed. :)
@codyvandervoort4079
@codyvandervoort4079 3 года назад
Thanks man
@derekbanas
@derekbanas 3 года назад
Happy to help :)
@virenbhujbal3603
@virenbhujbal3603 3 года назад
Brilliant explanation
@derekbanas
@derekbanas 3 года назад
Thank you Happy to be of help :)
@rangerxd1225
@rangerxd1225 Год назад
how to show compact letter display (a, ab, b, bc)to show which one are significantly difference on x-axis when plotting in seaborn?
@anindasadman443
@anindasadman443 3 года назад
Just what I wanted. Take lots of love, master. One more thing, which one would you prefer? Seaborn or matplotlib for basic visualization in data analysis.
@derekbanas
@derekbanas 3 года назад
I'm happy you liked it :) Matplotlib is used when you want a lot of control and Seaborn in other situations.
@anindasadman443
@anindasadman443 3 года назад
Alright gotcha. In that case seaborn is the one for me then. Thanks again
@benvella1728
@benvella1728 3 года назад
What a legend
@morthim
@morthim Год назад
strange that the box plot category doesnt show a box plot. a box plot finds the median which is the central line in that box. then if you slice the data set there, and find the median between the minimum and the median, you get teh lower quartile. and the median from the median to the maximum for the higher quartile. the quartiles and the standard deviation shouldnt be the same thing. the standard deviation for a normal set should be + - 34% from the median. not sure if im wrong, if the program is wrong, or if you are wrong.
@existentialcrisis9757
@existentialcrisis9757 3 года назад
Thanks Eric.
@derekbanas
@derekbanas 3 года назад
Happy to help, but my names Derek :)
@existentialcrisis9757
@existentialcrisis9757 3 года назад
@@derekbanas I am extremely sorry.
@derekbanas
@derekbanas 3 года назад
That's no problem. I have a weird name that a lot of people mess up
@denweth2
@denweth2 3 года назад
Thanks 😊
@derekbanas
@derekbanas 3 года назад
Happy to help 😁
@didierleprince6106
@didierleprince6106 3 года назад
Merci Grandement (:
@derekbanas
@derekbanas 3 года назад
C'est un plaisir pour moi d'être en mesure d'aider
@anatoliyzavdoveev4252
@anatoliyzavdoveev4252 Год назад
Support content💪
@derekbanas
@derekbanas Год назад
Thank you :)
@bennguyen1313
@bennguyen1313 3 года назад
Isn't pyplot, also built on matplotlib, and also attempts to simplify it's use by including panda, etc? When would you use seaborn vs just matplotlib? BTW, seaborn/panda can be used offline, but if you use Jupyter, everything, including the data, must be connected to the internet?
@manishdas6525
@manishdas6525 Год назад
🔥
@NeilG2023
@NeilG2023 3 года назад
Does anyone know how you would label each data point so the dataframe values showed above each plot on the graphs?
@cicidu8577
@cicidu8577 2 года назад
Thank you for the video! Where can I find the jupyter notebook for this?
@derekbanas
@derekbanas 2 года назад
I have a link in the description github.com/derekbanas/seaborn
@nuirejuvini9951
@nuirejuvini9951 Месяц назад
Hello, I have a question for corr() when we were using it in Heatmaps @ 34:00 I received an error while using .corr() in the line > crash_mx = crash_df.corr() > crash_mx It was a ValueError stating the it could not convert string to float for the abbrev columns. > ValueError: could not convert string to float: 'AL' I was able to kinda solve this by telling it to only take in numeric datatypes using pandas > numeric_columns = crash_df.select_dtypes(include=['number']).columns > crash_mx = crash_df[numeric_columns].corr() but is there a better way of doing this? or did I make a dumb mistake- Thanks for creating this video!
@raysun1681
@raysun1681 Месяц назад
Beautiful. pretending I understand what all the plots actually mean
@saadarbani
@saadarbani 2 года назад
how to use aggregate functions(count, sum ,min, max) while plotting in seaborn. for example I want to count some value in y axis again some value in x axis
@gormiksoc
@gormiksoc 3 года назад
Hey anyone know how I can create 2 separate box plots next to each other rather than one above the other?
@NeelamL15
@NeelamL15 Год назад
Hi Derek. Could you provide a link to the ComputerSales.csv file. It is difficult to learn Seaborn by replicating your teachings, if I dont have access to the CSV file.
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