Python Plotting Tutorial w/ Matplotlib & Pandas (Line Graph, Histogram, Pie Chart, Box & Whiskers)
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- Опубліковано 17 чер 2024
- Practice your Python Pandas data science skills with problems on StrataScratch!
stratascratch.com/?via=keith
In this video, we go through several real-world examples of using the Matplotlib & Pandas libraries to visualize data from CSV files. This is a follow-up to my introductory matplotlib video ( • Intro to Data Visualiz... ). Timeline for what we cover can be found in the comments.
We start by creating line graphs of global gas price data over time. We review how to add a title, x & y axis labels, and scale our graph. We review how to customize the style and size of our charts. Next, we look at the FIFA 19 player data to create a histogram, a couple pie charts, and a box and whisker plot.
If you enjoy this video, make sure to LIKE and SUBSCRIBE :) :)
If you have any questions or feedback, please let me know in the comments!
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Link to Source Code & Datasets!
github.com/KeithGalli/matplot...
Matplotlib Documentation:
matplotlib.org/api/_as_gen/ma...
Matplotlib Fonts:
jonathansoma.com/lede/data-stu...
Matplotlib Style Options:
matplotlib.org/3.1.0/gallery/...
Kaggle Data Link:
www.kaggle.com/karangadiya/fi...
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Video timeline!
0:00 - Intro & Video Overview
2:22 - Load Necessary Libraries & Download Data
3:48 - Line Graph Example (Plotting Data from CSV file)
21:52 - Histogram Example (FIFA Overall Skill Distribution)
29:25 - Pie Chart #1 (Counting data in CSV) - Visualizing Soccer Foot Preferences
36:41 - Pie Chart #2 (More advance Pandas Example) - Weight Distribution of FIFA Players
47:49 - Box & Whisker Plot (Comparing FIFA teams to one another)
1:00:37 - Final Comments
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If you are curious to learn how I make my tutorials, check out this video: • How to Make a High Qua...
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Just went through one of your tutorial and I feel like a pro already..hope you keep doing more of this
Hi Keith! Finished all your Python Data Science Tutorials for Pandas, NumPy, and Matplotlib. I can say that I really learned a lot from your videos and I admire your way of solving and navigating through problems. It's really interesting to see how real world data can be transformed into simple charts and graphs. I appreciate the work that you do and I hope you make more videos like this. Thank you!
As always, I am amazed by the value you bring to UA-cam. I'm so grateful for all you do to help those wanting to learn new things. Thank you.
ı agree with you man, year became 2022 and still this video is useful amazingly. Unbelievable
You taught me more than my college teachers combined
+1
The presentation of the concepts are excellent . All the topics are to the point. I am addicted to your videos. I was trying to learn Python from free resources and found your videos. They are treasure. Keep on making such videos. Btw, Thanks a lot!
Thank you so much for this video. I literally followed each step and it was truly helpful. Definitely subbed and I’m binge watching
Really enjoying the videos and have a lot of free time with NHL and other sports are down.
The time well spent, thank you.
Out of many python videos on UA-cam, I always stuck to your videos. You are awesome!!!
Yours are the greatest videos and content I have ever met on the internet. Thank you very much
You are better than my instructor, your videos are awesome, I've watched three of them in just three days that I was introduced to them, how I wish I knew you before now. You are a blessing to the World.
Dude, I've been trying to make a histogram like this from begining for 2 hours, jumping from StackOverflow, documentation and all kinds of websites and you just teach me in 2 minutes. You are great, keep up the good work
As always, spectacular content!!!! Thank you so much for doing these.
Dude, the box plot explanation was very good. Better than many I've seen so far. thx.
you are the single reason my grade is so good in my Data Analysis class, you are amazing and I can not thank you enough for all these videos!!!!
Keith is a living legend!
You are simply my best teacher of all times in regards to data scientist.
Great my pal.
Thank you so much for the videos. Some people overcomplicate pandas but this was easy to understand and follow along
It was just an awesome video, even I have learnt how to perform my matplotlib skills over dataset. Thank you Keith Galli Sir.
This video was very very useful. I followed them to detail and did these visualizations. Great work! :)
Amazing video Keith!
I myself want to become a data analyst(because I like the business side of companies as well) and started learning python for data science/analysis over R and SAS. Really glad I found your channel :)
This tutorial like next level to matplotlib.. Even paid courses didn't teach like this..you deserved mode subscribers...Hatts off to you keith
Really great Keith,Very appreciable videos.
Please complete all the other graphs also.
Thanks in advance.
This is an AMAZING tutorial! Really appreciate this vid man!
just started watching your videos dude. you're amazing. thank you so much.
I'm trying to be better at Python and at the same time doing all this Math courses to improve my math skills, I just needed a quick tutorial on how to plot graph in Python, watched this video and the first one, amazing stuff, thank you very much for sharing the knowledge.
This is officially my go-to channel for understanding Python libraries. The documentation is very helpful, but going through it as a beginner can feel disengaging at times, so I'm happy to have found this channel!
yeah, you remember when you apply modules on a real time project otherwise the truth is we developer only look at documentation when we need to, otherwise their are hundreds of commands that do hundreds of things and you cant remember all of them unless you use them very frequently.
I love your coding style. Comprehensive and simple
binged all of your python videos before my intro to programming exam. thank u for your service :,)
Thanks a lot Keith, you surely explain things a lot easier!
Great work man. And thanks again.
these videos are incredibly useful, please keep it up!
Dude, I am addicted to your tutorials. Whenever I come home from work, I start watching your tutorials & practice.
I use Python 2.7 and for this version, legend() command has some different script relative to Python 3.0.
Best wishes & happy X-mas from Pakistan
PAKISTAN AND CHINESE ARE FRIENDS(老铁)
me too Pakistani and a fan
I totally adore the way you explain. Thanks for the videos :)
you're a lifesaver, these videos helped me tons, thank youuu, maybe I will get that research now
Already love your videos. And now I see you're a Hockey fan. You're a good man.
just love it!!!, enjoyed learning throughout the Video
really great tutorial !!. Thanks for helping me to understand Matplotlib
Great Job Keith!!!
Your videos and teaching approach are very comprehensive.
Keep the good job.
Thank you!!
thanks for sharing your knowledge and expertise. Especially for beginners . keep on posting professor.
Wonderful Tutorial Keith :)
Thank you for this.
Thank you very much for all your videos!
You are helping me a lot with my PhD.
Go on!
I want to say thank you for your time.Useful and undestandable
Great videos .. I need to learn this as my role is evolving and this is becoming a pre requisite
60K SUBSCRIBERS, WOW THE COMMUNITY IS GROWING. WELL DONE KEITH
Video Timeline!
0:00 - Intro & Video Overview
2:22 - Load Necessary Libraries & Download Data
3:48 - Line Graph Example (Plotting Data from CSV file)
21:52 - Histogram Example (FIFA Overall Skill Distribution)
29:25 - Pie Chart #1 (Counting data in CSV) - Visualizing Soccer Foot Preferences
36:41 - Pie Chart #2 (More advance Pandas Example) - Weight Distribution of FIFA Players
47:49 - Box & Whisker Plot (Comparing FIFA teams to one another)
1:00:37 - Final Comments
Subscribe to my channel pretty please friends!! :)
Thanku ❤️ bro
Thank you so much for the video!! I spent HOURS trying to figure out a simple plot, and after several videos your the one who was finally able to help me!
you probably dont give a shit but does anyone know of a method to get back into an instagram account??
I was dumb forgot my password. I would love any help you can give me
@Maximus Zyaire Instablaster =)
@Maxton Kyrie Thanks for your reply. I got to the site thru google and I'm in the hacking process atm.
I see it takes a while so I will reply here later when my account password hopefully is recovered.
Excellent tutorial.... looking forward to new ones!
Keith thank you so much! I really like your tutorials and as a total noob you have really taught me a lot :) greetings from the netherlands
Thousand thanks for your videos❤ it's helping me so much with my report which i'm dealing with!
You deserve more than a million subscribers bro! Great tutorials
big thumbs up to you
even 3.5 years later from the date that you uploaded the video
How beautiful your way of teaching. Grateful to you. it was learn to fun.
Thank you for your clear and thorough video!
Your videos are really, really helpful. Thank You.
Many Thanks for sharing Allll you amazing videos with us!!!
like many others, we'd love to see more and more End-to-End real life tasks like this one, while you're explaining everything in details, and even showing us different ways doing the same thing!! :D:D
really hope if you can make more videos with Matplotlib & Pandas, sklearn and other famous libraries, tasks like Datacamp projects or any real life task!
Thanks in advance and wish you the best in your channel!
your videos are great, i learnt lot of stuff from your videos hope you make more tutorials about data science
Great tutorial !!! Its like learning from a friend
Keith your voice has very natural speed. You do not try to unnaturally speed up your talk and that is the best thing about your videos.
Your videos are really helful! Thanks soo much man!
Your tutorial videos have helped me a lot to learn python. Tks
Your videos really helped man :)
Keep making tutorials
Nice work buddy. You made each concept so simple to understand. Love form India :)
Thanks for the classes.. They have been really handy to learn python...
Thanks a lot for these videos. Greetings from Peru!!
thank you, i learned alot from your videos. more power!
Once again, best use of my time. thanks a lot mate
Your videos are really helpful. Thank you.
what I love about this video is that it is ad free. ❤️
get yourself an adblocker
Really enjoy your tutorials
Thank you, these are absolute treasure🔥🔥
Thank you so much. Learning so much from your videos.
It helped me a lot. Thanks from Brazil
Keep going! You're doing great work. Thanks from Viet Nam
Such a great video, thank you very much!
Great tutorial!!, Thanks for teaching
this channel provides the best resource for data science in my perspective. subscribe guys, it's worth it
Thanks a lot, your videos are really helpful. 😊
Woooow great lesson indeed. Thank you so much.
That's so cool man! keep it up.
Learned a lot. Thanks.
Thanks for the vid! A few things I'd like to say addressing the beginners: the solutions given by Keith are workable but several of them are suboptimal.
1) When the expected number of plots on one graph is too much - you should definitely switch to the OOP approach (fix, axes = plt.subplots(nrows, ncols, figsize=()) etc.) Even when you have just one plot it's much better to use OOP: plt.subplots(1,1)
2) The conditional slicing is heavily suboptimal. Pandas has a 'cut' method which saves all the unwieldy conditional slicing.
Sorry if I'm not the first one to point that out.
29:20 please keep sharing some small but valuable tricks like this, it helps me a lot
I love you keith you are really a good teacher , love from INDIA
You are the best. Thank you very much!!
you are the GOAT man, thanks
You are amazing. Please do more Pandas real world projects
Bro your videos are the best!!!!
thank you sooooooooooooooo much it helps me a lot ...................awesome video and excellent explanation ........keep on bro
You're helping me do my master's thank you really 💐💐
Great tutorial!! Helped me with my MIT stats class!
Awesome video to learn matplotlib thanks u for videos
Thank you so much. It is easy to understand whatever u teach. Keep it up!
I was surprised to hear u guys follow European footbal :)
Btw I was in Boston several times, great city!! and with a soccer team
Thank you for the kind words! Glad you have enjoyed the tutorials. Yeah there's a huge sports presence here in boston which helps makes it a really fun place to live :)
Another great video! You're a king among men
Haha I appreciate the kind words! Glad you're finding the videos helpful :)
Thank you! Cool lesson!
Thanks. Very nice tutorial...
Bro it's very much helpful.
Use a logarithmic scale to plot your first histogram in a way that displays all the players
plt.yscale('log', nonposy='clip')
Thank you as always!
Amazing video.. thank you very much
You have all my respect
my visualization concepts and its fun way to code in python and pandas to give output a visualization effect, it seems easy by reffering your video
'Im going to be a little bit hackey here' Like it . Must get a T shirt printed 'A little bit Hackey'
Hey Keith, excellent video you made. Can you please make a few tutorials on 3D plotting? covering from basics and using real data like you have done here? Thanks xx