Скачать или смотреть Python Line Plot Part 2

This video builds on the previous introduction to Matplotlib by further customizing the line plot created. It covers:

Adding a legend to the plot using .legend()
Plotting multiple lines on one graph by adding additional .plot() statements
Adding gridlines with .grid(), and customizing them by specifying the axis and style
Changing the alpha value to adjust transparency of gridlines
Using line style and color options to customize the plot's appearance
Creating more complex multi-line plots in Matplotlib vs using Pandas

The video walks through enhancing the basic population line plot by adding a legend, a second dummy line of data, gridlines, and adjusting the style. It demonstrates how Matplotlib provides extensive control for customizing plot appearance compared to Pandas. The description sets up the viewer to learn how to recreate Pandas plots like bar charts using Matplotlib coming up in future videos.