Скачать или смотреть Using the mplcursors Library for Interactive Features

Now, let's focus on the mplcursors library, which is a game-changer for adding interactivity to Matplotlib plots. After installation, integrating mplcursors is straightforward. Begin by importing it with `import mplcursors`. To add interactivity to a scatter plot, simply call `mplcursors.cursor()` after your plotting commands. This will allow users to interact with the plot using their mouse. The mplcursors API offers various customization options, such as changing the hover appearance and controlling what data is displayed. You can customize cursor behavior to show additional information or highlight points in different ways. By combining mplcursors with Matplotlib, you can create plots that not only look good but also provide a wealth of information at a glance.