Python: Intro to Visualization with Matplotlib

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

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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

abhimanyupundeer
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Amazing for someone who has an idea already, thank you

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

jimiahrhodes
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You are a legend joe . Your content is amazing 👍

CHETANSINGH-sueg
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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.

satoshinakamoto
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Very useful examples for matplotlib beginners.

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

patelvivek
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Very nice instructions and clear explanations. Easy to follow!

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

nyakehkonneh
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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!

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

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

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

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

adityakumarpal
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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])

ericbecker
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Please make machine learning in Python tutorials

anuragtripathi
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Hi Jame's, please upload python with grafana combination

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

solomonmuwori
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Could you please share the link to your Git repo.

chandu
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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

santhoskumar