Matplotlib Tutorial (2022): For Physicists, Engineers, and Mathematicians
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- Опубліковано 27 вер 2024
- Check out my course on UDEMY: learn the skills you need for coding in STEM:
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This from-scratch tutorial on Matplotlib is designed specifically for those studying physics, mathematics, and engineering. Before watching this, you may want to brush up on numpy:
• NumPy Tutorial (2022):...
All code can be found here:
github.com/luk...
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This is quite possibly one of the best channels I have come across to learn Python from Physics POV. I only regret why I didn't find it sooner. Please continue your good work. A lot of thanks to you. (Never have I subscribed to a channel this quickly)
Is there a Dark Mode??❤
man i really appreciate you doing this, i can cannot overemphasize like how the right the timing of me finding the channel and you uploading the video, great work keep them coming
Timestamps:
00:00 Introduction
00:50 Making Plots Actually Look Nice
01:17 Quick Plotting: Line Plots
09:10 Quick Plotting: Histograms
12:27 A More Advanced API: Single Axes in one Figure
14:15 A More Advanced API: Multiple axes in 1 figure
18:41 Example
27:00 2D Plots: Filled-in contour plots
30:33 2D Plots: Contour Plot
32:12 2D Plots: 3D Surface Plot
33:40 2D Plots: StreamPlots
37:55 Image Reading
38:23 Animations
I need this, thanks!
Dedication! my mans is uploading while biking
You were biking along with him?👀
@@jhawar-ji nah I bailed on the biking part of the trip
THANK YOU! I’ve been trying to quickly learn matplotlib these past few days to finish up a lab report for my internship you have no idea how beautiful your timing is
The science style really overcomes a lot of pain in matplotplib. Thank you again
He's put so much in such a small amount of time it took me around 6 hours to do every single exercise. He is going very fast, but you can pause, slow it down, etc. Helped me a lot.
You're a life saver. The way you explain things is incredible, out of every single person I've watched, you're the best. Thank you for all the content!
Tight layout for subplots should also have been included. That's always a plus one
Sadly I've spent years of mindless copy pasting from stack overflow and then tweaking the parameters. this video finally made me understand what the hell I was doing :D
Clear, concise, straight to the point and efficiently fast. You’re godsend bro
ANIMATION! YES!
I can't believe it took me til end of semester to find a Numpy/Matplotlib animator!!
Enjoy it very much, not only how to do it, but also how to think before plotting step by step.Thank you very much!
Awesome man! This is highly useful. Your tutorials are really lucid and informative and makes learning Python enjoyable and fulfilling. I just finished watching this video, but I'll definitely reference this when I need to do things in Matplotlib that I haven't done before like histograms and animations. Highly appreciate the animation part here. You explain it well and make it simple and understandable. Big thanks!
Thank you :)
These are amazing lectures/tutorials. Really appreciating your time and great work!
I wish I have more than 1 account to like this video at least 5 times. Its very useful. Thanks.
Happy to find you! Hope to see you more!
Absolutely beautiful work
Simple, clear and concise. You are an amazing teacher!
You're the GOAT
Excellent and fluent! I can learn a lot from your channel, thanks!
One of the best vids out there. Subscribed and liked!
That's great help to beginners as well as the expertise. Thanks for super simplifying the concepts.
Wonderful video my man keep up the good work.
u seriously have the best vids mr.p
This man is doing gods work.
Your videos are the best on UA-cam on this topic. Please do more basics videos. I find it difficult to translate engineering problems to python without getting lost in the maths with multiple variables that can change. More info on standardising such problems to see how each variable will effect the result would be extremely useful.
Thank you for doing all of this, it's incredibly insightful! Awesome tutorials!
Just began my physics major and I’ve never used python before but your videos are really informative
Wow in which school ?
You're a legend my guy, thank you!
Thank you for this vid bro. Please make a Seaborn or Plotly version of this.
I came to UA-cam to waste time not to learn something useful 😢
thats a gem!
Awesome tutorial! Thank you!
Why is the method set_title() and set_label() for axes/subplots, yet title() and xlabel() etc for plots.
You're doing the exact same thing (seemingly) yet the syntax has different words for these operations.
It suggest to me that axes/subplots and plots are fundamentally different structures.
Thank you
Your content is awesome!!!
Great crash course, thank you!
great. when you recotd to make it size bigger, it would be better. it is a little small to look.
This is really good! Thanks a lot.
Thanks a lot needed this!
Great job man!
"science" style doesn't work acctually. What shoud I do? And how to install Latex package?
Your channel Sir, absolutley worth million subscriber or even more. Many thanks.How can I contact you if any questions i wan to ask? any website or else? btw i have major in physics too. hehe
Very impressive... Thank you so much...
Nice video.....please provide a code of how get the co ordinate values (x,y) of intersection points of two non linear curves in python. Plot visualization is also required in matplotlib. A lot of time it is needed in engineering calculation. Thank you.
Great video, man, thank you :)
Can you make a video explain how to install scienceplots on jupyter notebook on this new version.
Mr. P, may I ask how to install the Science Plots:?
So much thanks
I'd there guide for artists musicians and so on?
Superb content!!
Thanks a lot BRO, the tutorial is very helpful to get an overall idea. Can anyone plz let me know how to get a MULTI-PANEL plot using data from a FILE? Thanks in advance.
Please I request you to do a tutorial on Electromagnetic wave animation in 3d in matplotlib
Thank you
Hats off mate!!!
I have a question regarding plotting on an image which has log log scale. As I apply log scale to x and y axes, the image gets distorted. Do you know how to keep the aspect ratio.
Bro, thank you very much!
I really enjoyed this tutorial!
I want ask you about plotting high quality plots using this library for NASA cdf data!
I use Pyspedas to analyse MMS spacecraft data but the plots is not that good!
Many thanks!
Thanks, but how to change the interpolation from linear to something like cubic or something else...
Thank youuu. Do you have any idea about creating a semantic graph? (an unweighted undirected graph)
How to get different view of 3D projected graphs? like side view , top view with and without animation?
Thank you Good sir, thanks a lot
Can you please tell me your educational background. You are quite intelligent
Thanks man !.
Which college did you go to P.Solver? any recommendations -college choice- for some one who loves Physics and coding ?
7:15
x2 and x are of different dimensions. somehow it works for you..I got en error
how to plot y=x|x| in python
Hello. I‘m from Uzbekistan. I‘m student.
Can you help me by in pyton
How do I get your animation code (too fast to follow). Tks, Noel
All code is in the description!
@@MrPSolver Excellent. You're a remarkable find.
Does anyone know how you would modify the animation code to track the motion of the second mass with a solid line? I think it would show the chaos of the motion very well
How one install SciencePlots, please? Is it "pip install SciencePlots" ?
You have to add channel for it
why does my plots look blurry in my notebook compared to yours? :(
I think increasing dpi might help e.g. plt.figure(dpi=100)
Hello..I am a PhD student in physics from Iraq..I hope you can help me find codes in the Python program to study the Fe(II)particle (ising model 2D)to determine the spin crossover of the electrons and find the energy..with many thanks to you.
I love youuuu....
What's the best way to import data from a csv file and manipulate it for plotting?
Try using Pandas!
@@joseftrojan7664 thank you so much! Worked perfectly.
Fantastic video as always.
The fact that python plotting doesnt have a GUI like in MATLAB is SO tiring.
Absolutely. That being said, you kind of get used to it.
First :)
Great stuff as always, especially liked how you indexed the axes in the subplots. It's a really cool trick and I will be using it from now on!
How can I use the same text font/style as in the fig.text() at 26:43? The \Delta E gets compiled in italic dejaVu Sans by default and when I try to wrap it in \mathrm{} it just removes the italic and it still doesn't look roman like in the video.
The best tutorial videos! thank you!
If possible pls post videos for family of Curves and for fluid mechanics pls
Could you please make a video on Petsc solver, how to install it and use it from A to Z showing a couple of matrix inversion examples. I will be very grateful. Thanks
I'll take a look at it!
Nicely done, i went thru set by step with you (lots of stop and go) programming and studying all your examples as yet another review of MatPlotLib, really very good practice. Only issues for me: could not access those additional styles you mention at beginning, perhaps you could offer more exact details on how to get them loaded/accessible. Also on my ipad can't zoom the video so your code was really tiny, i could read it but if you ever reduce the font it would no longer be legible.
Great tutorial! I learnt a lot Thanks
Men, thx for doing this
Thank you for making this video. Terrific job.
Is it possible to save the figures while keeping the Science Plots Format you declared at the beginning of your Jupyter notebook?
Nice explanation. Needed exactly what you explained.Thanks for the informative video.
Thank you for this tutorial!!!!! Very very usefull and simple for undersatanding!!!
Luke is such a great instructor: one can learn numerous concepts in no time!
Thank you-)
Thank you for the great video....can you help me to make appear some data values on the curve. thank you..
Why this video in your python play list, it is not python !
Your channel is amazing, it is incredibly hard to find this level of content even in paid courses. Thanks so much!
Great tutorial!!
hey! you need to work on your playlist. Everything is a mess! thanks tho.