Happy to be back! Video Timeline: 0:24 - Video overview (note real-world examples moved to next video) 1:43 - Setup 2:23 - Our first line graph! 4:50 - Add title and labels for x & y axis 7:13 - Change font type, size, etc. 9:02 - Change tick marks (scale graph) 11:20 - Add a legend 12:25 - Restyle our line (color, line style, markers, width) 15:53 - Shorthand notation to restyle lines 17:27 - List of line customization options 17:55 - Plot more complex lines 22:20 - Resize Graph 24:48 - Save Graph 26:00 - Annotating/Cleaning Code 27:00 - Bar Chart 31:25 - Final Comments If you enjoyed this video, make sure to like and subscribe! :)

Congrats on finishing your degree, Keith!!! :) As a student who studies Education but would like to go into data analytics, your videos are super helpful and inspiring! By any chance, you could do more videos on how to build regression models in Python? :) Again, thanks for making these amazing tutorials!! :)

I'm finding your explanations much easier to understand than other channels.

I am really grateful for your tutorial videos, you cover all the must-know topics, your explanations are easy to understand and watching you make mistakes sometimes makes me comfortable as someone who's learning. You could totally roll out your own courses or work as a KZfaqr (or become a teacher) if you want to!

Dude, I watch all your videos, you make videos very carefully, very instructive, thank you very much

For those curious, you can use plt.annotate() to add the coordinates of markers to the graph. x = [your x coordinates list] y = [your y coordinates list] for i, j in zip(x, y): plt.annotate(f'({i}, {j})', (i, j), textcoords='offset points', xytext=(0, 5), ha='center') You can play around with the options, but this will add the coordinates centered slightly above the markers. If 5 seems too close, 10 is a better option.

A great way to teach. I like that you show how to look for information on the referenced source. Thank you for sharing and for making these very useful online classes. :)

You are becoming my favorite instructor. Keep it up, man!

Thank you Keith for the great video! This is helping my a lot for my bachelor thesis.

this video is the perfect way to understand the library

YOU ARE THE GUY ENCOURAGE AND SHARING YOUR KNOWLEDGE TO TO THE WORLD

Finally My boy is here

thanks keith for such an amazing video on matplotlib your content is very much structured and well taught the concept in very layman terms so even a non-techie can learn concept great video keep posting more

I like your videos, Keith! Simple, practical, to the point. Good job!

Good videos Keith. Not draggy by any means.

Hey Keith u are amazing at making virtual lessons with an understandable concept and ur way of teaching is quite good. Hope u will make more vedios on all the programming languages

man you are the best one so far i have seen. your tutorials are so helpful and easy to get your feet soaked into. thanks for existing

I watched about 2/3 of your Pandas video, it's the visual stuff that I'm after, so I'll try this one.

Numpy-->Pandas, now I am watching Matplotlib, Thanks for you video.

Thank you so much! I am now trying to go through every single one of your videos in data science section and have learned a lot!

An idea for a tutorial might be making a 3D plot or surface with data collected through a Tkinter application. Great video, thank you)

Thank you so much for making this, Keith

"if i did 'yel' which is not a color it's gonna yell at me" hahhahaaha made my day thanks for the tutorial

Welcome back Keith👍💪

Thank you, I am happy I found these videos on the right time.

You are very helpful and enjoyable. In an easy way you provide a lot of stuff to get anyone start using the libraries from scratch to a stisfying degree.

This video was very helpful. I had issues understanding matplotlib but I followed along and I better understood it. I also learnt how to read documentations and find what I want. Thank you.

Thank you so much for taking the time to teach us! That exit stage left was very dramatic....

You are the best period. Hands Down

Great video!!! Better than my MIT professors explain it :D

This guy made it look so easy!

Knowledgeable and talented instructor.

Nice intro easy to follow but one must do what it says not only listen ... I learned that we must put legend() to be able to see label =('') .... thank you

Thank you for this great video!! This should be helpful for all beginners of matplotlib!!

Thanks a lot... Good vibes and greetings from Japan

One thing that would help you in your videos is to remain consistent in your approach. In two of your videos I've watched now, you start out GREAT by explaining what it is that you're trying to do, and getting the viewer on board by making sure they can work alongside you. Invariably, though, half-way through your videos you go off trying this and that, with no explanation beforehand and no clear objective in mind, and instead end up working your way through your confusion and hoping the viewer is still watching the video.

excellent tutorial Thumbs up to you Keith

Nice introduction to plotting, very useful

that's great your to took time to do these video man, thank you so much.

It was my fisrt vid so nice too meet you after your Academia stuff. Thanks!

very helpful thanks keith

Nice brushup!

I like the way you teach

Thank you so much Keith for your videos. U make it easy to understand because u do not rush. Keep it up. U are doing a great good 🙏🙏👌👋👋

it's very helpful & useful to me. thanks for your recording 💖

really like this video and your other video, thank you so much

Sehr gut! Vielen Dank und viele Grüße aus Deutschland!

Good start

Sir your explanation so clear and I understand very easily please make more videos on python for freshers but I have a doubt how we are use some string,list ,set, dictionary methods in class , please make one video with above data types mothods please sir thank you for sharing this video

Greetings from Nepal ! Ur vids r superb, great help . Thank u 🙏

The xticks and ytics didn't work on Jupyter notebook but worked on Pycharm. Jupyter: TypeError: 'list' object is not callable PyCharm: does what it is supposed to do. Sometimes it is the other way around. And the command lines were identical (Ctrl+C Ctrl+V). This is why I prefer R: Python is far to "capricious" to be anywhere near reliable.

Nice work man!!

THANK YOU KEITH LOVE FROM INDIA

thanks a lot, your videos has been very helpful

26:43

Very valuable content, thanks

Thanks a lot for your videos Keith, much appreciated!

Thanks Keith. Keep up the great work!

That is supercool, thank you!

GOTCHU!! 8:34

Thank you for the video. It's very helpful!

Thanks Keith, you made my day 🌟

Thank you Keith this video is really awesome!

FLASH|||||||| 26:45

Very Helpful

Thanks a lot, bro. You are amazing. Thanks for your time, but could you make a tutorial about a real project, please, so that we can use all of the libraries that you taught us?

Thanks Keith. Great videos!

Thanks for video to share your knowledge on python

Thanks Keith. Do more!

Thanks dude this helped a lot! Greetings from Switzerland :))

Informative. Thank you so much.

thank you for this video. its very very helpful.

Thank you so much.

Wanted to put the values for each Bar. How to do that.. looks like plt.text can help. But it's getting more complicated. solved, thanks

Thanks man, great video!

Thank you so much for this!

Thank you and very helpful Video!

Make educational videos, we are with you

Thank you for these, really helps!

yes we need super duper coverage too

I have csv data of one city which is I have been read in python using panda library now I want to extract specific area of that city How would I do this ? Which Library would I use for this purpose ? Csv City data contains (Lat & Long )

You don't need to save with code there is an option in the GUI of the graph to save it

Everyone in comments be like he's the best and stuff. Phew.. what less did you guys even except from an MIT Computer Science Graduate.?!

How to resolve the error ""? When i save it, the png file is coming blank.

Thank you sir

Nice tutorial...

Sir, please make more tutorials related to Projects on Data Science

On that line graph, how can we use logo at the end of this line. Suppose if we want to use Facebook and Twitter logo, small size or even how can make a circle and write"FB" or Twitter like this at the end of each multiple line.

Hi Keith. Thanks a lot for this video. I got " invalid character in identifier" in Jupyther on the line "plt.title('Our First Graph'，fontdict = {'fontname':'Comic Sans MS'})", any idea what's the problem?

sorry i have a question when i installing the package " plt" . That is displayed " ERROR: Could not find a version that satisfies the requirement plt (from versions: none) ERROR: No matching distribution found for plt " I need help :/ pls

Thanks for the video. I am a forex trader and just discovering chatGPT, pycharm and eventually Python. My goal is twofold. 1. Generate a batch of random numbers. 2. Make a linear regression line that captures the lowest to highest, or highest to lowest. 3. Then save the data and use it for testing a neural network. (This ignores collecting actual data from forex pairs, but theoretically should create an impressive analytical tool. Is this even possible. Would you be interested in the challenge?

thanks

Thanks Keith! Can you make a video showing how to draw a box with 10 rows and 10 columns, total 100 grids, and each grid contains a value from a file. Like a storage box.

nice job

You are super awesome bro love yuh 👌👌👌👍👍

Informative & love it.

Really cool

Nice and simple 👌👍💥

could you make videos on real life project on machine learning please, thanks this amazing video, i like the way you use documentations

Great job!