Introduction to Seaborn | How seaborn Python works with matplotlib along with seaborn and pandas
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- čas přidán 8. 07. 2024
- This first video of my "Introduction to Seaborn" series covers the basics of seaborn, a Python library for data visualization. Here, I describe what seaborn is and discuss seaborn installation. I compare seaborn vs matplotlib and explain how seaborn updates matplotlib's rcParams. I also show you 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:
github.com/kimfetti/Videos/bl...
#seaborn #dataviz - Věda a technologie
Thank you for developing the playlist introduced by this video. These were very informative, and I really appreciated how you start with the objective of each plot type before diving into syntax.
Great organization of topics, great presentation. Can't wait to watch more of your videos!
Exactly what i was looking for. You are so underrated, you need more followers
Fantastic video. Looking forward to exploring the rest of the series!
I thank you for generously sharing this video and github depository, it has been a massive help.
Short and clear explanation and demonstration. Very helpful in understanding the uses of the various seaborn plots.
Thanks! Very happy to hear these videos have been helpful for you!
Thank you for the explanation. Good job, Kimberly!
I've just started the video and I'm optimistic this will be a great series.
Simple, concise, and short. Good video!
Thanks -- glad you liked it!
The best, absolutely. Clear and so direct.
Thanks so much -- glad you are enjoying!
Kimberly, you are awesome. Thank you so much!
You are amazing! Thank you for this great tutorial
Such a kwoledge level class.thnq mam
Thank you very much Kimberly. Very useful. I have had many years working around the globe in a consulting capacity and have recently been migrating a lot of my analytical work from Excel to Python - party for the challenge but also for the wonderful analytical tools on offer. My global consulting is irrelevant to the point but it's always fun to say... ;-)
Cheers and thank you from Sydney - David
you are just amazing!! so well explained!! really thank you very much 😀🌺
Outstanding presentation and organisation.
excellent series and explanation. Thank you!
Most welcome - glad you are enjoying the series!
Thank you so much for this video. That's what I was looking for!!
Fantastic! Very glad to hear it was helpful for you 😀
lowkey the most underrated channel i have come across
Oh thank you! I appreciate the compliment! 😄
your teaching method too friendly and easy to understand as a newbies...kimberly keep it up.
It was really very helpfull for me.
Why, thank you! Very glad to hear it was helpful 👍
This is extermely well explained tutorials on data viz .
Oh thank you! Glad you are enjoying my explanations. 😄
I really love this.
I use yt-dlp, and it doesn't sort well, unless sort by modified date. So I open the browser while learning.
Thank you so much. It is helpful.
So glad you enjoyed it and found it helpful - cheers! 😁
You are just amazing mam. I'm big fan of yours. Thank you for the wonderful video. Thanks a lot. 😀
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.
Fantastic -- so glad this was useful! Good luck on your Python journey.
Thank you, Kimberly, for your excellent videos. Your video is very educational and informative. Even slow person like me could easily follow your instructions, and I could construct density plots of the dataset that I had been playing with (10-yr wind obs in the Hunter Valley NSW) after simply watching your video. Many thanks :)
So glad to hear you found my videos valuable! Wishing you all the best on your wind data project 😀
Great presenter...very engaging...
I think i have a long journey to spend here, thanks for tips
Great series, thanks!
So glad you enjoyed it!
hey! Great Tutorials ! Thanks
Thanks for such an useful sesries!
So happy to hear it has been useful for you! 😄
Thank you Kimberly, very nice tutorial.
Glad it was helpful! 😁
@@KimberlyFessel could you please make videos series about Statistics ? I couldn't find any statistic people who can explain things easier and better than you with very pleasing and soothing voice :)
@@billionairepodcast Great idea! I have done a few videos on data science metrics, but I've always wondered if I should put my math PhD to use and do more stats/math videos... 🤔
@@KimberlyFessel I've watched them, your videos of DS metrics. To be honest all of your videos. Haha
Your idea sounds nice. Can't wait to learn more from you :)
Great wording !
Nice work
Python folks really like their upbeat jaunty music! It's fascinating to me, coming from more general programming to this data-science world in which people are ... happy?
Very good ! Tks !
Glad you liked it!
Love your videos
Thanks so much! 😀
Nice!! TQVM!
YWVM! And thanks for stopping by!
this is wonderful video, i love it. especially for your generous codes, i appreciate it very much. a lot thanks.
Absolutely! I'm happy you are enjoying the videos and the code 😄
Vielen Dank und viele Grüße aus D.!
Most welcome - cheers!
nice and clear :)
Thanks very much - good to hear!
Thanks :D :D
I want to use boxplots with seaborn in nested loops , its possible ??
Hi, Kimberly. I really like this video series about seaborn, and I appreciate it very much. Are you interested in making a video about seaborn palette? Feel a little confused about that.
Yes! I have been wanting to make a video about seaborn color palettes for nearly a year now. Now to just sit down and make it - hopefully soon! 👍
This series is amazing. I have a question, What command do you use (min 3:03) to see the function parameters, I tried with SHIFT+TAB but it doesn't show me all the signatures, just shows: Signature: sns.set(*args, **kwargs)
Hola Daniel lograste resolver? me aparece lo mismo. Saludos
@@geomicrobio no, no encontré
Hey there - If you are still interested in a reply... this video was created with an older version of Seaborn. For newer versions, the preferred command is sns.set_theme(). Try that and then do SHIFT + TAB TAB (hit TAB twice while holding SHIFT) to expand out the docs. Cheers!
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
So glad you are enjoying my content -- and yes! I do plan to make videos about the relplot and catplot. You can check out my video on the distplot here: czcams.com/video/fJoR3QsfXa0/video.html
@@KimberlyFessel create pandas tutorial after that playlist
Kim, how do you implement collapse dropdown for multiple cells?
I installed nbextensions ( jupyter-contrib-nbextensions.readthedocs.io/en/latest/install.html ) which allows for additional functionality in Jupyter Notebook. Those dropdowns are an extension called "Collapsible Headings" ( jupyter-contrib-nbextensions.readthedocs.io/en/latest/nbextensions/collapsible_headings/readme.html ).
Hey Kimberly Fessel! This is a great intro to Seaborn. I was trying to import data from local. It seems load_dataset('abc.csv') isn't working. Could you help me load dataset. I would appreciate if you could step in here. Thanks in advance.
Hi there - the Seaborn function .load_dataset() only works for the specific datasets that come with Seaborn. You can view a full list of those datasets by executing sns.get_dataset_names(). To load in your own data, you will probably want to use pandas. First do "import pandas as pd" and then you can use "df = pd.read_csv('abc.csv')". After that you can plot your dataframe df with Seaborn!
can you kindly share the dataset to practice the code
at timing 3.13 s how to get the signature dialogue box i.e the dictionary of the function in a dialogue box ??
plsss reply anyone
Hi! This video was created with an older version of Seaborn. For newer versions, the preferred command is sns.set_theme(). Try that and then do SHIFT + TAB TAB (hit TAB twice while holding SHIFT) to expand out the docs. Cheers!
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");
Glad you like my channel! This is a good question -- I will have to dig into the Seaborn source code more because at the moment, I don't know how you could accomplish this in the nice easy way that pandas provides. If you do just want the Seaborn styling, you could always import seaborn as sns and then just do sns.set() before your pandas plot to update matplotlib's styling via the rc parameters.
At 3:05 - how did you expand sns.set() to show it's code???
Oh yeah - that's a cool trick within Jupyter Notebook. You can put your cursor inside the parentheses, hold down the "Shift" key, and then hit the "Tab" key twice. That will show you a snippet of the docstring. 😄
@@KimberlyFessel Thanks very much Kim for taking time to reply. I'm trying to go through all your excellent seaborn video. Thanks for sharing!
Do I need to learn Matplotlib first or I can just jump on Seaborn?
Can you do a tutorial on volcano plots?
These are pretty neat -- I'll add it to the list!
Im getting strikethrough on set when I am coding on VS Code
Hi there - sns.set() still works for me with Seaborn version 0.13.1, but you could try sns.set_theme() and see if that works. The set function is an alias for set_theme. 👍
How can i view docs on jupyper like you at minute 3:03? Thanks
Oh yes -- this is a super cool feature of Jupyter. Inside of the parentheses, you can hold down shift and press tab. That should bring up the top part of the documentation. Or shift + tab + tab which will bring up the full docs. (At least that's what works on my Mac!)
@@KimberlyFessel Thank you. Good videos. Following on this question, In what environment are you working. Yes, I'm using Windows/Jupyer but your video shows "Seaborn" with arrow and when I shift=tab I don't get the list you do; signature, docstring, ... How would I 1- see the parameters 2- where can I change these parameters if I need? Working my way through your series. TIA
I wonder why everyone pronounces matplotLIB as lib with a short i sound instead of a long i sound as in LIBRARY.
Finally, a woman !! Love u
i came here to see the beautiful kimberly..☺☺
Not very clear I'm afraid. Pup install seaborn: u don't say that u need to nav to pip dir. Sns(set) .; up Dr not explain how u r changing settings.....just in first minute
Hello arknights player who accidentally end up here after searching seaborn lore
I wonder why this doctor chooses sns instead of something easier like sea or born. Sns is so cryptic and seems to be unrelated to s-e-a-b-o-r-n.
It’s a West Wing reference.
This is a common usage
This is what exactly I'm looking for, as a newbie data scientist I really enjoy these tutorials. Thank you Kimberly! :)
So good to hear! I wish you all the best as you begin your data science journey!