Which Python library is commonly used for creating interactive 3D visualizations and plots?

Seaborn
Plotly 3D
Matplotlib
Seaborn

The correct answer is B. Plotly 3D.

Plotly is a Python library that enables users to create interactive visualizations. It is commonly used for creating 3D visualizations, but it can also be used to create 2D visualizations. Plotly is a powerful tool that can be used to create a variety of different types of visualizations. It is easy to use and can be customized to meet the needs of the user.

Seaborn is another Python library that is commonly used for creating visualizations. Seaborn is a high-level library that is built on top of Matplotlib. It provides a number of features that make it easier to create visualizations, such as the ability to create statistical plots and the ability to use color palettes. Seaborn is a popular choice for creating visualizations, but it is not as well-suited for creating 3D visualizations as Plotly.

Matplotlib is a Python library that is commonly used for creating 2D visualizations. It is a powerful library that can be used to create a variety of different types of visualizations. Matplotlib is not as well-suited for creating 3D visualizations as Plotly.

In conclusion, the correct answer is B. Plotly 3D.