Seaborn Python Tutorial - Part 1

[@msctube45]

You deserve a lot of credit for this video, one of the best Python tutorials I have seen in the internet. Lots of clarity and objectivity delivered with a practical and easy to follow didactic method. Thank you!

[@YiannisPi]

Glad you liked it!

[@elbezz]

Thank you for your tutorial, great things..............Regarding the barplot: if we want to display the sum(), instead of mean(), we just add estimator=sum,,,, as follow ax =sns.barplot(x = 'Month_ID', y ='Revenue', data=raw_data, estimator=sum)

[@dhruvrathore2022]

This is amazing man, everything is explained crystal clear. I wonder my college lecturers are even doing, damn fools. You explained much much better. Thanks a lot !

[@YiannisPi]

Glad you liked it!

[@OmarJIBAR]

wow, your tutorial is so clear that i just want to cry. THANKS A LOT FOR THE TUTORIAL

[@YiannisPi]

You're welcome!

[@murilokrebskyhobus7713]

I usually don't comment that much on KZbin videos but this here deserves all the credits ! Awesome video, thank you so much !

[@YiannisPi]

Glad you liked it!

[@nawilliam2754]

Most beautiful and clear explanation. You deserve more views.

[@YiannisPi]

Glad you think so!

Yes, I had fun watching your presentation. Thanks.

[@harikrishna-harrypth]

Thanks for your resourceful videos! Much appreciated! Please continue making these amazing videos!!

[@YiannisPi]

Thanks, will do!

[@omkars764]

Amazing tutorial, straight to the point. Thank you for the notebook

[@rishabhsharma2077]

If you see an error such as "Cannot cast array dtype 'int64' to dtype 'int32', please refer this link github.com/mwaskom/seaborn/blob/master/seaborn/algorithms.py Copy the code from here and paste it into algorithms.py file in your local computer. P.S. Tutorial was brilliantly done

[@julianriise5618]

So basically I’m going to learn how to create them, different options and examples, got it! Great tutorial😁

[@YiannisPi]

Perfect!

[@Am-hsb]

Thanks a lot mate! Really like your way of teaching attributes step by step. Keep going.

[@YiannisPi]

Thanks, will do!

[@salbayrak]

Hey man, aside your awesome work I really loved your southern european accent which reminds me my best memories with the lads. Stay safe, cheers!

[@YiannisPi]

hahah thanks!! Glad you liked it!

[@codecreator6179]

this is pretty nice. thank you so much

[@miguelangeldiazoviedo9523]

Very good. Just what I was looking for

[@karakol86]

To change the figure size you can also have the Code plt.figure(figsize=(10, 8))

[@kendallgibson8370]

Helpful tutorial, thank you! tip for viewers: if you increase the quality of the video, you may be able to read the screen better.

[@attilajuhasz8]

thank you for this very thorough video, clarified a lot of things for me!!!

[@YiannisPi]

Glad it was helpful!

[@jamalanifowoshe1125]

Amazing series, so many good examples!

[@YiannisPi]

Glad you like them!

[@andreasp.189]

Very informative tutorial Yiannis!

[@ilianleandrolopezsepulveda1829]

thanks for the tutorial, is very usefull to start it would be great if zoom in the jupiter to fit the screen

[@Leticia12570]

So good! Thanks to share your knowledge with us!

[@Praj13515]

Thanks a lot for this video. It was excellent and I enjoyed while doing on my system. Thanks again!

[@YiannisPi]

Glad you liked it!!

[@Naveen_Anan]

Superb Sir, Very great presentation!

[@tongakuot]

Great tutorials! Thank you for sharing.

[@diegososa5280]

Thank you so much for this. Liked and subscribed.

[@YiannisPi]

Awesome, thank you!

[@twtw785]

Very good job - can you do some videos on stock market data analysis or cryptos analysis, especially on some 3D advanced seaborn charts ? thanks

[@bsharmomani3871]

FINALL, smth from the ground ! thanks

[@jerrymarq3897]

This is good. But an experienced data scientist knows that you want to set the index to date time, and this allows you to add month, quarter, year, and day. This additionally assist with machine learning etc… graphing doesn’t do much. We’re going to have a bunch of people that just know k ow how to plot and cannot think critically

[@allieubisse470]

You have a killer content and well explained...

[@meylanwongkar4632]

Such a wonderfull tutorial, good explanation^^

[@YiannisPi]

Glad you liked it!!

[@sandyputrautama9279]

Thanks for this tutorial, very helpful 👍

[@Shonashoni1]

wonderful explanation...

[@Papiii_benz]

Great explanations!

[@YiannisPi]

Glad it was helpful!

[@amrseleem]

Great video man!!! keep going

[@YiannisPi]

Appreciate it!

[@jongcheulkim7284]

Thank you so much. This is very helpful^^

[@andrelovo7333]

Very good video! Tks!

[@YiannisPi]

Glad you liked it!

[@ireneshiang978]

Nice tutorial! Thank you!

[@hezronkiprop2391]

THANKS ALOT.day by day you helping me

[@YiannisPi]

Always welcome

[@CaribouDataScience]

This is very helpful!

[@manu93ize]

great tutorial man ! 20:04 some people use log() when data is skewed . do you know why? thanks

[@YiannisPi]

Glad you liked it! We use log when we have large values and we want to reduced their skewness

[@AnatolVZ]

Excelent video!!!

[@pasangpasang7803]

Hello, This is such a wonderful tutorial. I have just completed the tutorial 1and would like to learn from rest of the tutorials. You have made the presentation in such a way that it is so easy to follow. Thank you so much for that. I cannot stop myself from subscribing to your channel and liking you video. I also have one suggestion and one question: Suggestion: It would be nice, if you can zoom in your presentation. I have to zoom in my browser to 200% and it is still not clear without bring my eyes close to my PC screen. Question: I could follow all your instructions and get all the codes correct but I could not get the bell shaped curve despite getting all the codes correct. Please can you let me know, why?

[@CaribouDataScience]

How do I create the "distplot" using "displot" or "hisplot"? Dispolot or hisplot don't have the fitted curve line?

[@konstantinosmaravegias4198]

Ωραιος. Να εισαι καλα.

[@YiannisPi]

Thanks man! esi nase kala!

[@abdurrezzakefe5308]

Amazing tutorial, thanks!

[@YiannisPi]

Glad it was helpful!

[@eanamhossain-lifecycleofda3580]

I learn so much thing in your tutorial

[@YiannisPi]

Glad you found this useful!

[@crisbuker]

Muy bueno tu video !!

[@folasadeomonira1092]

in a situation where the date axis is not clear due to multiple values. how can u make it clear as opposed to swapping to week?

[@yogeshdhawan3488]

Thank you good video.

[@happyfa]

What is difference between matplotlib and seaborn?

[@ketanchikhalkar9326]

Very nice bro Can you help me to solve my problem of data analysis

[@hellofrombd1960]

How can we save full dashboard in one Picture. Please help.

[@gormiksoc]

If i have 2 columns of data frame wage and value. No matter what i try i cannot create boxplots of those columns NEXT TO EACH OTHER. They're always one above the other.

[@nachoh6726]

hello, how're you doing?, first i give you the thank for your greats videos, but i have a problem: I made this with VS code and when i run de codes in the terminal this no made nothing. For example: ax = sns.lineplot(x = 'Date', y = 'Index Return', data = raw_data) - This code no made nothing. But, with this i don't have a problem. import os import numpy as np import pandas as pd from matplotlib import pyplot as plt import seaborn as sns raw_data = pd.read_excel('C:\\Users\\igper\\OneDrive\\Documentos\\Archivos_Python\ eturn_ipsa.xlsx') raw_data raw_data.head() Do you have any idea what might be causing the problem?

[@Shreya-hz4pe]

Thanks. It was helpful. Any way I can contact you if I have doubts(only if you don't mind)?

[@YiannisPi]

hey, you can asks questions here in the comments and I will try to answer as many as I can!

[@arjungoud3450]

Thank a lot.

[@hasantarek6521]

good one

[@BngPhysics]

thanks, and keep it up

[@YiannisPi]

Thanks, will do!

[@tasc4404]

course is good, but it is hard to see codes bcs of notebooks apperance.

[@leecreighton]

Remember-people are watching this on a lot of devices. I can’t read a thing you’re typing and you’re going so fast that I can’t figure it out for myself.

[@YiannisPi]

Hey Lee, thanks for the feedback. The idea is that this tutorial is very practical. So anyone who is not watching / doing this on the PC is not actually learning by just listening. We learn by doing / applying and as far as I know you can only code on a PC :)

[@GM-rs2fv]

You should zoom in on the jupyter notebook a bit it's hard to read on a laptop screen

[@YiannisPi]

thanks, will keep this in mind when I do the next!

[@vijayotnm]

Thank you

[@vlogsdeqayam612]

Hi everyone. For some reason, I'm unable to download the data set used in this tutorial. can someone help me out? thanks in advance

[@YiannisPi]

hey! what is the error you get?

[@rusticagenerica]

You pushed the video saturation far too high ! Your face is as red as a ripe tomato covered with Tabasco !

[@YiannisPi]

hahah you would thing it's saturation but it's actually due to me sitting in the sun for hours. We do not get many sunny days in London and when we do, I'm always outside :)