Data Visualization in Python with Matplotlib 📊

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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):
https://github.com/KeithGalli/matplotlib_tutorial/

Matplotlib Pyplot Documentation:
https://matplotlib.org/api/_as_gen/matplotlib.pyplot.html

Font List:
http://jonathansoma.com/lede/data-studio/matplotlib/list-all-fonts-available-in-matplotlib-plus-samples/

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: https://youtu.be/YJC6ldI3hWk

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: https://youtu.be/LEO4igyXbLs

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