Matplotlib Tutorial (Part 10): Subplots
Вставка
- Опубліковано 30 чер 2024
- In this video, we will be learning how to use subplots in Matplotlib.
This video is sponsored by Brilliant. Go to brilliant.org/cms to sign up for free. Be one of the first 200 people to sign up with this link and get 20% off your premium subscription.
In this Python Programming video, we will be learning how to use subplots in Matplotlib. Subplots are used so that we can use Matplotlib in a more object-oriented manner. We will learn how to use subplots to plot data we have seen in previous videos, and then we will learn how to use subplots to create multiple plots on one or more figures. Let's get started...
The code from this video (with added logging) can be found at:
bit.ly/Matplotlib-10
Unpacking Quick Tip - • 10 Python Tips and Tri...
✅ Support My Channel Through Patreon:
/ coreyms
✅ Become a Channel Member:
/ @coreyms
✅ One-Time Contribution Through PayPal:
goo.gl/649HFY
✅ Cryptocurrency Donations:
Bitcoin Wallet - 3MPH8oY2EAgbLVy7RBMinwcBntggi7qeG3
Ethereum Wallet - 0x151649418616068fB46C3598083817101d3bCD33
Litecoin Wallet - MPvEBY5fxGkmPQgocfJbxP6EmTo5UUXMot
✅ Corey's Public Amazon Wishlist
a.co/inIyro1
✅ Equipment I Use and Books I Recommend:
www.amazon.com/shop/coreyschafer
▶️ You Can Find Me On:
My Website - coreyms.com/
My Second Channel - / coreymschafer
Facebook - / coreymschafer
Twitter - / coreymschafer
Instagram - / coreymschafer
#Python #Matplotlib
I hope everyone finds this video helpful. This is the last video in this series for the time being, but if you have any requests for topics that I have not yet covered then please leave a comment and I will try to add to this series in the future with popular requests.
I'd like to thank Brilliant for sponsoring this series. If you'd like to check them out then you can sign up with this link and get 20% off your premium subscription:
brilliant.org/cms
😎😀 Awesome stuff, thank you!!! I think you said that you plan on doing more data science videos next? Either way, thanks for your videos. I just became a patron last week 👍🏽
@@RTW590 Yes, I plan to now focus on putting a Pandas series together. It takes time to finish a complete series, so I'm not sure when this will be released yet, but I am working on it now. And thanks so much for becoming a patron! That helps a ton!
What do you think about Mobile App (kivy) or neural network in python?
If there will be any possibility in future, I'll be happy for that!
Amazing series. I haven't gotten the time to complete it yet. I'm still going through that spectacular flask series of yours. But, when the time comes I know I'm gonna enjoy it.
Dude. Soo good! Soo clean! These videos set a high standard for educational videos!
Corey you are a world-class teacher. You're making my PhD so much easier man
Dude, you are just the best.
Pandas would be great for the next tutorial, then if it's possible, machine learning after that.
Thank you sooooo much.
Yes, entirely agree (maybe machine learning if possible). Very nice videos (I've watched the whole matplotlib series) : clear, concise, and very nice !
Just want to say you'r a great teacher bro. Thanks for time and effort .
Thanks!
You did it again. Just like pandas, this is the best matplotlib tutorial I have come across on UA-cam. I don't even bother with other tutorials now, as long as you have covered it. Thanks a ton Corey.
Best explanation of the subplots I've come across. Thanks so much!
Thanks so much!
My level in python has improved because of you. From flask, django, and this series now and many more of your videos that I've learned. Thanks a lot!
I wish I could work with you in physical life for more knowledge.
God bless you!
I have been through quite a few python tutorials and courses but none of them is as simple, clear and comprehensive as this guy is!!
This is the best tutorial on Matplotlib so far. Thank you, Corey!
Hey man, just wanted to say thank you for this amazing series. I deeply value your efforts, as they made me a better coder and helped me to do my science. Wish you all of the very best. Cheers from Brazil.
I just spent a whole week finishing this series. Thanks. You are the best
I'm glad that I can continue my learning with your awesome tutorials. I've watched your django, pandas and this series! I can't wait to watch your other tutorials. Thank you for your great works 👍
Awesome tutorial man! Very nice and lucid. I've been plotting for months usually with just pyplot object, but recently, after being intrigued enough by the "fig, ax" codes that I usually see, I decided to learn how to do it, plt.subplots, and I must say that it's been very fulfilling to learn that more advanced, concise, and organized way of plotting. It's actually way simpler than I first thought and it's a wonder how I was baffled by it in the past. Thank you very much for these.
Take a week to finish this course. It's a brilliant series as usual. Thank you!
btw, I checked the sponsored. 👍
Hi Corey,
I just finished your Matplotlib tutorial and it is just great! So comprehensive and understandable at the same time. You explain that so consequently, however it is not too long or boring on the other hand. I do have also a subscription on DataCamp, but it is absolutely not comparable to your tutorials. Thank you for your great job. As others already mentioned, to have such a tutorial for Pandas would be awesome.
Thank you once more!
I wish I found this weeks ago. Kudos to the effort producing such high quality content. Thank you sir!
Thanks a lot for this series, as a beginner I have been using chat gpt to get my plots done but that is time consuming and i can exactly get them done the way I want. This playlist was simple yet detailed and explained everything comprehensively. Thanks a lot Corey.
Thanks for that series Corey! I learned so much!
Also already done with the Pandas series.
You're a great teacher!
Great video, thank you! If you are on the fence about continuing this series, I think a video on time-series animations in 2D and 3D would be very informative (I'm coming from a physics background and currently using an ad hoc approach that isn't great).
thanks so much for making it easy to follow along. these matplotlib videos certainly streamlined the learning process.
What an amazing tutorial, you're awesome Corey. Appreciate for being so explicit in your explanations. Thank you so much!
Thanks a lot, Corey for these wonderful lessons. Highly recommended.
If you can do a SciPy series similar to matplotlib and pandas, it would be really helpful.
I second this!!!
Thanks a lot Corey for these tutorials, your content is one of the best on UA-cam.
This series was amazingly helpful. This is a huge help for my senior design project. Thank you so much.
I have watch all videos of the series. very clear and to-the-point explanation. Thanks so much for making this. best of luck for you!
Dear, I'm humbled and grateful. You are just the best.
I've just finished all of the panda and the matplotlib tutorials.
I wish I could support you but it's not possible from Iran :) ! I try to introduce to all the persons who may are interested in this subject and planing working with data.
Thank you again *_*
Another wonderful series! Your videos are excellent! Informative, well researched and extremely practical! Thank you so much!
This guy is just the best, can't express how many times this guy has saved me.
Much love from Nigeria.
The uni course I'm taking involves using a lots of python, especially these scientific packages. Your videos and this series helped me a lot for a head-start. Thank you for that!
This is great. Thanks for making. Would love to see a tutorial for graphing stock data with volume overlays, different metrics shown, technical analysis, etc. Hope to see more graphing videos in any case!
Thank you so much for the tutorial! I was always confused about the fig, axis notion. It's clear now. Thank you!!!
The way you explained is simply superb!!...Extraordinary...Thank you very much for this video.
I just finished watching this series. Best explanation one could ever get on Matplotlib. Well also due to corona outbreak I am gonna utilize my whole time in the best possible way and that is by learning something new from you sir I am going to watch your next series on Django. Everyone, please stay at home, stay safe. Thank you so much, sir. Love and respect from India. 🧡🤍💚
Love the channel and this series has helped me so much to develop my aquarium controller that I have been working on. Just need to sort out the live data from my SQLite3 database for temperature reading. Hope you continue with you great work in teaching so many of us how to code.
This was a great series. Thank you very much for the clear guidance. I would love for you to add to this series, perhaps working with dates and times using real life data from an API (Similar to episode 9) or a series covering an entire basic data analysis project from start to finish.
Excellent channel. Outstanding videos with clear explanations. Thanks.
Great tutorial...I always enjoy the way your are communicating these topics!
You are a great teacher Corey. Thank you for your time and effort.
I struggled a lot finding the best place to start and finally I landed up on the best channel
thanks a lot
Thank You for everything You are doing. Interesting, clear and useful.
I say this from the bottom of my heart....God will bless you in all your dealings. Thank you again for this flawless video
thank you, bro, I have learned a lot and it was the best tutorial I have ever seen of matplotlib
Great Job Corey, thanks to you for everything I know in programming .... big fan from Egypt
Such a beautiful series of videos. Really thank you Corey.
Great content man and indeed matplotlib is one of the finest library for data visualization although seaborn came beforr matplotlib still beacuse of more flexible nature matplotlib is always preferred first
I'll be covering Seaborn, Bokeh, and some other plotting libraries in the future as well. Thanks for watching!
Great videos they hace been really helpful in identifying unnecessary or dumb stuff I’ve been doing for a long time as well as teaching me a bunch of new stuff! Any chance you can make a series like this on Pandas in the future?
@@Andresdha he even said that he will do that at the end of the video man
@@coreyms Plotly would be greatly appreciated!
Bless you man for all your contributions !
Thank you, this series was fantastic!
Thanks Corey, this and the Pandas series have been super helpful. An extension to this series for Seaborn would be awesome!!
Watched the whole series, thanks a lot fam
wow!! Now that's the way to learn coding. The explanation is subtle and soft. Thanks a ton
Thanks so much Corey! Really helpful series.
Brief and very informative. Great.
Thank you very much Corey Schafer Sir. Nice work and great efforts. And very good style of explaining the codes. so that even new learners can understand.
thank you for making the series
Learning subplots in python for the 1st time. Thank you for putting this together!
Thanks!Your video series really helpful!
Well done, many thanks for this tutorial!
Thanks Corey!
Doing this content for free is incredible!
You're amazing! Thanks for these series :)
thank you sir , you are the only one that explained it simply
Thanks Corey for another awesome series. Now time to make some cool projects!
Thanks Corey for this awesome tutorial!
Thanks so much Corey. I've learnt so much from your guidance. You are a great teacher and a guiding light for thousands around the world.
P.S. - My ears experience ecstasy when they hear "Now, if I run this...".😁😄
Corey Schafer your channel is the best. hope watching you doing videos in pands and all the other libraries used in data sciene!
Thank you so much for the time and effort you put. Much helpful, God bless you!
This is exactly what I was looking for. Thank you!
You advertised brilliant more than brilliant itself 😁👍
Thanks a lot to share the series it was fun and educative journey to follow so appreciated
Fantastic video, sharing this on twitter right now! thanks!
Very informative as always, thank you!
This series was great for getting the basics right for matplotlib.
Although I had 2 questions on subplots:
1. Can one use the axes from the subplot and assign it as an axes to other subplot?
2. Should one return figure or axes of subplot from a function if one wants to access/edit the plots again?
I'd appreciate if you could answer these.
Amazing content! Thank you so much!
Thank you so much for this Tutorial, it's super clear and super concise. You made my day! :)
Amazing tutorial. It helped me a lot. Thanks a lot for this tutorial series. Eagerly waiting for the Pandas series.
Great series man... It was really helpful.I'm also interested in non-blocking code using OOP approach. I think it's a good and useful topic
kudos mate - look forward to more excellent content from you Corey
Nice one. Was looking for this kind of solution. Thank you. 😄
Fantastic tutorial series!
Brilliant series! Looking forward for the Pandas!
Very clear and good lesson, thank you very much
Fantastic Series on Matplotlib!!!!!!!!!
Dude, you are awesome. I will make these videos in playlist named "matplotlib faq" 👍
Fantastic explanation, thank you!
thank you so much corey , you are a great teacher
I love the tutorials, you do an amazing job. It would be cool to see a video showing how to embed a Matplotlib into a Django template. It would be great to see you add a plot to the blog site you built with Django to tie them together.
Thank you Corey for Awesome Tutorial.
Thanks for the great tutorial!. Seaborn would be a good option for the next step.
Excellent explanation sir.. The best part is you try to explain the concept keeping in mind learner's point of view. I've seen some lessons where tutor changes the code and brings up the desired output but basic concept is not explained, so the learner gets stuck in similar /new situation. Thanks a lot for clearing the basics.
Hey Corey, I just want to say thanks so much for being an excellent teacher. I just finished your Matplotlib Tutorial and moved on to watch your Django tutorial. I have a big request - can you show how to use something like Cloudinary, or another file storage system, when deploying to Heroku? I deployed it, but since the file storage system is ephemeral, images will not save. There is some documentation, but as I'm quite new to all of this, I've found your explanations and walkthroughs extremely helpful. Thanks!
Hey Corey, first off, hats off to you man, I've been learning python on my own and I've watched almost all of your videos. Very informative and clear. Thank you for your help to us learners. And also, I have a request, can you make a video about backend_tools in matplotlib, I want to create a button which i can use to stop the real-time plotting of data, I've been looking everywhere but I can't seem to find anything I can understand. Thank you and stay strong.
Thank you so much for recording these videos!! These are incredible!!
I have one request, could you please make tutorials on visualizing 3D plots using this matplotlib/seaborn package?
Thaks Corey!
I really like your videos!!
This was amazing. Thank you!!!
Very nice tutorials i learned a lot thanks for such great tutorials
Thank you so much, I've learned so much from you
Thank you so much for these videos :)
Hi Corey, This matplotlib series is really helpful, I love your way of teaching. If possible can you make a video on Box and Whisker plot with some real world data including outlier. As always you are doing a great job... For every one of us.
Could You Please Do A Video Tutorial On Using Python For A Time Series Forecast, To Estimate Future Sales.. Based On Past Data! Thank You For ALL Your Excellent Videos! 🙏🏽
very nice and clean explanation
thank you! may the knowledge i got from here be a beneficial one