Python: Intro to Visualization with Matplotlib

Intro to how to visualize data in a variety of plots and charts using Python Matplotlib for plotting.
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[@abhimanyupundeer4500]

1:19 Simple Plot
2:25 Points have x and y values
3:24 Changing figure size , plot red dots, set axis scales
5:03 Bar charts
6:57 Two sets of 10 random dots
7:45 Time Series
8:41 Random dots in a scatter
9:40 Load csv and show multiple chart types
11:05 Subplots part1
12:30 Subplots part2
13:30 saving figure to image file

[@shivayshakti6575]

thanks abhimanyu :)

[@nicorobin7666]

Amazing for someone who has an idea already, thank you

[@jimiahrhodes6869]

This video presents coding well. My project is becoming insurmountably more fun since viewing.

[@CHETANSINGH-su4eg]

You are a legend joe . Your content is amazing 👍

[@oggiai]

Thanks. 😀

[@satoshinakamoto171]

hi, it would be best if you could guide us through a video by also writing the code and use the documentation while doing it. there are so many method calls and functions one has to wonder where to look for additional self exploration. maybe a second window with the documentation open can show us how you figure out how to code and debug your programs.

[@oggiai]

Thanks. That’s good feedback

[@patelvivek7716]

thanks for this video was struggling with some of the things in matplotlib

[@Anddy002]

Very nice instructions and clear explanations. Easy to follow!

[@merrittdeeter1329]

Very useful examples for matplotlib beginners.

[@nyakehkonneh]

Thank you so much. I love this presentation format. Was able to follow along code by code and experiment.

[@oggiai]

Great!

[@pipertripp]

This was great. Very succinct. Thought Jupyter presentation was excellent better than IDLE IMO. Thx again.

[@oggiai]

Thanks. I’m doing most of my new videos in Jupyter.

[@pipertripp]

@@oggiai yeah, I can see why. With markdown cells and keyword decoration, it makes the presentations nice and easy to read. You end up spending less time deleting content when you transition to the next point you want make.

[@janspoerer]

7:49: Defining the variable "ts" seems unnecessary because only the index of "ts" is used. This is shorter (and less confusing imo):
df = pd.DataFrame(np.random.randn(180, 3),
index=pd.date_range('1/1/2018',
periods=180),
columns=list('ABC')
)
df.cumsum().plot()
plt.show()
Thanks for the great video!

[@oggiai]

Nice contribution!

[@jedrekwrzosek6918]

Thank you for the concise tutorial!

[@b22_srikanthreddy31]

why there is mentioned in subplot argument as 221 , 222, 223,224 respectively ?at timing 12.10

[@AwesomeAngryBiker]

Awesome, only tiny issue, on the last one, I'd say speed should be y axis and altitude on X axis in 100ft increments

[@malmedia9747]

Very very nice elaborations

[@muritalaadebayoisah9155]

Thank you. It was very helpful

[@Abdullah24241]

GREAT SIR.... THANKS VERY MUCH....

[@cesararturocastanonacuna3325]

Legendary!

[@jrod238]

GreAt video. Thank you

[@jeffgalef121]

Awesome video. Thank you very much.

[@LanceMarks]

The Jupyter Format is great!!

[@NuEnque]

Try Jupyter Lab... much better than Jupyter notebook

[@davidw.9711]

what is better matplotlib or seaborn?

[@pinyichang4680]

good

[@ericbecker7624]

11:00: I cannot get a legend to show when I copy your code, I had to enter the legend manually to get the same results as you
plt.legend(df.iloc[:,[1,2])

[@adityakumarpal91]

can you provide a link to the text file that you have used? thanks for such an informative video

[@oggiai]

I'm sorry I couldn't find the text file on my laptop. And it's not on my GitHub site where I usually put stuff. My apologies.

[@adityakumarpal91]

@@oggiai no issue Sir, really thanks for making so much effort for me 😊. I hope you have a great day

[@solomonmuwori1954]

Hi Joe. I am using VS Code IDE and am having issues in importing Matplotlib. Can you assist?

[@oggiai]

You should use your package installer (pip, yum, or whatever) to make sure you have matplotlib installed and updated.

[@oggiai]

You should use your package installer (pip, yum, or whatever) to make sure you have matplotlib installed and updated.

[@anuragtripathi1744]

Please make machine learning in Python tutorials

[@oggiai]

I’m getting there. Posted videos on Numpy, Pandas and Matplotlib in the past few weeks. Stay tuned!

[@anuragtripathi1744]

Thanks for replying

[@gamestv4875]

So this is Python using Mat , Panda and and Numpy to hatch a plot?

[@irfanmoosani7771]

great video

[@santhoskumar1369]

How can i plot two overlapping gaussian surfaces and its contour in same figure. Only ones contour is getting displayed, also the overlapping is not clear in surface

[@chandu7691]

Could you please share the link to your Git repo.

[@oggiai]

Www.github.com/joeyajames and there’s a Python folder with all the Python code

[@sathishbabu9096]

Hi Jame's, please upload python with grafana combination

[@NuEnque]

Why are we not using Jupyter Lab?

[@oggiai]

I’ve done a few videos in Jupyter, and am working on another right now.

[@NuEnque]

@@oggiai Thanks for the reply. It appears as though you are using Jupyter-notebook. I was suggesting you use Jupyter-Lab. It's awesome

[@uhsay1986]

Do you have the codes placed somewhere ?

[@oggiai]

Yes, it’s all at www.github.com/joeyajames in the Python folder.

[@uhsay1986]

@@oggiai Thank you for the reply.

[@shivayshakti6575]

Can you share your notebook?

[@oggiai]

All my code is on my GitHub site