EDA Python - 22-Matplotlib

The video tutorial provides a comprehensive guide to using Matplotlib for data visualization. It begins with an introduction to the anatomy of a figure in Matplotlib, followed by loading and preparing Microsoft share price data. The tutorial covers data cleaning techniques, such as removing whitespace and dollar signs, and converting data types. It then demonstrates basic plotting and customization options, including styles and labels. Advanced plotting techniques using figures, axes, and subplots are also explored, providing viewers with the skills to create detailed and customized visualizations.

How can you customize the appearance of a plot in Matplotlib?

What is the significance of the PLT.show() function?

Explain how to create subplots in Matplotlib.

What is the purpose of using a date formatter in Matplotlib?