Matplotlib Scatter Plot Mastery: Bubble Charts, Colormaps, and Alpha Blending in Python
*matplotlib is the de facto standard for data visualization with Python.* While there are many other graphics libraries available, almost every one of them is a wrapper around the Matplotlib library. Visualization with Matplotlib can be tedious and daunting if you don't know the basics.
This video covers a number of basic settings and capabilities through examples of *scatter plots**—one of the fundamental data analysis tools for discovering relationships between variables. We move beyond the basics by demonstrating techniques to add **dimensionality, colormaps, bubble charts,* and *alpha blending* to visualize *stock correlation* using real financial data.
Almost all of the techniques shown can be used in any visualization you make.
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*Video Chapters:*
0:00 Introduction: The Power of Scatter Plots
0:29 Environment Setup & Importing Real Financial Data
1:33 Calculating Instantaneous Rate of Return
2:47 Base Scatter Plot: Google Returns vs. Amazon Returns
3:42 Adding Horizontal/Vertical Guide Lines
5:15 Adding a Third Variable with Color Map (CMAP)
6:21 Applying a Seaborn Style Theme
8:31 Creating a Bubble Chart (Using the 's' Size Parameter)
10:33 Solving Data Overplotting with the Alpha Parameter
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*🔗 Resources & Tutorials:*
Download Jupyter notebook here and see other tutorials: https://alphabench.com/data/python-ma...
You may also be interested in: • Matplotlib Line Plots: Visualize Stock Pri...
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#python #matplotlib #scatterplot #datavisualization #bubblechart #pythonfinance #stockcorrelation #dataanalysis #alphablending