Python Plotting Tutorial w/ Matplotlib & Pandas (Line Graph, Histogram, Pie Chart, Box & Whiskers) смотреть онлайн

Practice your Python Pandas data science skills with problems on StrataScratch!
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In this video, we go through several real-world examples of using the Matplotlib & Pandas libraries to visualize data from CSV files. This is a follow-up to my introductory matplotlib video (https://youtu.be/DAQNHzOcO5A). Timeline for what we cover can be found in the comments.

We start by creating line graphs of global gas price data over time. We review how to add a title, x & y axis labels, and scale our graph. We review how to customize the style and size of our charts. Next, we look at the FIFA 19 player data to create a histogram, a couple pie charts, and a box and whisker plot.

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If you have any questions or feedback, please let me know in the comments!

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Link to Source Code & Datasets!
https://github.com/KeithGalli/matplotlib_tutorial

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

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

Matplotlib Style Options:
https://matplotlib.org/3.1.0/gallery/style_sheets/style_sheets_reference.html

Kaggle Data Link:
https://www.kaggle.com/karangadiya/fifa19

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Video timeline!
0:00 - Intro & Video Overview
2:22 - Load Necessary Libraries & Download Data
3:48 - Line Graph Example (Plotting Data from CSV file)
21:52 - Histogram Example (FIFA Overall Skill Distribution)
29:25 - Pie Chart #1 (Counting data in CSV) - Visualizing Soccer Foot Preferences
36:41 - Pie Chart #2 (More advance Pandas Example) - Weight Distribution of FIFA Players
47:49 - Box & Whisker Plot (Comparing FIFA teams to one another)
1:00:37 - Final Comments

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