Intro to Data Visualization in Python with Matplotlib! (line graph, bar chart, title, labels, size)
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- Опубліковано 18 чер 2024
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Yay finally posting again. Hopefully this video will help you get comfortable working through the matplotlib library. I'm going to post a follow up video with real-world examples (combining pandas with matplotlib) and different types of plots next week. I originally was going to include that in this one, but I thought the video was getting a bit too long.
In this video we walk through some of the basics of matplotlib. We start by making a simple line graph. We learn how to give the graph a title and label the x & y axis. We learn how to scale the graph by specifying the x & y tickmarks. After this, we restyle our line by passing in keyword arguments then do basically the same thing with a shorthand notation. We resize our graph and save it. Then we end with a simple bar chart.
Source Code (includes code and data for next video as well):
github.com/KeithGalli/matplot...
Matplotlib Pyplot Documentation:
matplotlib.org/api/_as_gen/ma...
Font List:
jonathansoma.com/lede/data-stu...
Install libraries Needed for this video:
Option 1:
Open up a terminal window and type
pip install matplotlib
pip install numpy
pip install pandas
Option 2:
Download anaconda which will contain all the packages we need. A video on how to do this is here: • Python Tutorial: Anaco...
Thanks for watching! Make sure to like and subscribe to not miss any future videos! Let me know if you have any questions.
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Video Timeline:
0:00 - 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
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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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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. :)
Thank you Keith for the great video!
This is helping my a lot for my bachelor thesis.
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 UA-camr (or become a teacher) if you want to!
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!
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
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.
I like your videos, Keith! Simple, practical, to the point. Good job!
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 watched about 2/3 of your Pandas video, it's the visual stuff that I'm after, so I'll try this one.
Dude, I watch all your videos, you make videos very carefully, very instructive, thank you very much
You are becoming my favorite instructor. Keep it up, man!
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
I'm finding your explanations much easier to understand than other channels.
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! :)
Your videos are the best videos on python data science modules. I would like to thank you for helping people like me who wants to grow there career in python. Thanks again bro.
Extremely beneficial for me and other, I guess. Million thanks and it will be great if you make all the tutorials series focused on different topics and provide detailed explanation of each step in the future.
your video helped me a lot and it will also assist in my future career as a "Data Scientist" at Oracle!
thank you!
and what's that weird sound? here 26:43 ?
25:02, almost died
Thank you, I am happy I found these videos on the right time.
Thank you for this great video!! This should be helpful for all beginners of matplotlib!!
Thank you so much for making this, Keith
it's very helpful & useful to me.
thanks for your recording 💖
Thanks Keith, you made my day 🌟
Knowledgeable and talented instructor.
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
that's great your to took time to do these video man, thank you so much.
Thanks Keith. Keep up the great work!
Thanks a lot for your videos Keith, much appreciated!
Thank you Keith this video is really awesome!
Thank you for these, really helps!
Thank you for the video. It's very helpful!
It was my fisrt vid so nice too meet you after your Academia stuff. Thanks!
Great video!!! Better than my MIT professors explain it :D
Thank you so much for taking the time to teach us! That exit stage left was very dramatic....
Thanks dude this helped a lot! Greetings from Switzerland :))
Thanks Keith. Great videos!
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.
me too
really like this video and your other video, thank you so much
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 🙏🙏👌👋👋
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
An idea for a tutorial might be making a 3D plot or surface with data collected through a Tkinter application. Great video, thank you)
YOU ARE THE GUY ENCOURAGE AND SHARING YOUR KNOWLEDGE TO TO THE WORLD
excellent tutorial Thumbs up to you Keith
thanks a lot, your videos has been very helpful
This guy made it look so easy!
very helpful
thanks keith
Good videos Keith. Not draggy by any means.
Nice introduction to plotting, very useful
Informative. Thank you so much.
Very valuable content, thanks
Thanks for video to share your knowledge on python
Thanks a lot...
Good vibes and greetings from Japan
You are the best period.
Hands Down
Informative & love it.
Greetings from Nepal ! Ur vids r superb, great help . Thank u 🙏
Thanks Keith. Do more!
Thanks man, great video!
thank you for this video. its very very helpful.
Nice work man!!
Thank you so much for this!
Thank you and very helpful Video!
Nice brushup!
Finally My boy is here
Sorry to be gone for so long!!!
That is supercool, thank you!
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.
Welcome back Keith👍💪
Glad to be back! :)
Good start
"if i did 'yel' which is not a color it's gonna yell at me"
hahhahaaha made my day
thanks for the tutorial
Very Helpful
Nice and simple 👌👍💥
Great job!
I like the way you teach
Sehr gut! Vielen Dank und viele Grüße aus Deutschland!
Numpy-->Pandas, now I am watching Matplotlib, Thanks for you video.
Love it!!
hahaha,same order here...
Thank you so much.
Thank you!
very helpful
Thanks man.
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 sir
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
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?
THANK YOU KEITH LOVE FROM INDIA
Eres un grande, maestro.
Muchas gracias 😄
You are super awesome bro love yuh 👌👌👌👍👍
Really cool
Nice tutorial...
nice job
Hi Keith! Thanks for this video! I'm working this tutorial on my Mac and I have come across some problems executing the codes here. On the first graph you made, I had trouble showing the graph size with the plt.figure, with a dpi of 300, line because the output didn't show an enlarged version of the graph. However, when I tried to run it, it the notebook showed this result .
Second issue is with the Bar chart's hatches. I got good results with the slash and circles on the design but on the third one with the stars, I can't get past it. It only showed the same blue bar without a single stars at all. It was worse when I tried the for loop you did because it didn't show no patterns. Weird.
Thanks fam!
Thanks Sir, any guidance on using matplotlib to plot trajectories?
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?
Thanks
hey, thank you for your videos, i'm having probloms on pycharm using the label and color via legend() and i have followed your instruction but i'm getting an attribute error: 'Line 2D' object has no property 'label' any idea why?
thanks
thank u
yes we need super duper coverage too
GOTCHU!! 8:34
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.
Sir, please make more tutorials related to Projects on Data Science
could you make videos on real life project on machine learning please,
thanks this amazing video, i like the way you use documentations
Any regression model or clustering model from scratch Keith, looking forward to it
Best !!!
Great
Very helpful video. I tried the same process on my exercise but stacked where they said x and y must have same first dimension, but have shapes (30, 30) and (1,). I checked my x and y find they have the same dimension but I am not sure about z because it has 3D data. How can I solve it?
Thanks. Do you know how to change the background color in dataframe.plot graphs ( the background on which there are: labels and graph name). In subplots you can use 'facecolor' param, but it doesn't work in plots generated from multiindex dataframes.