The correct answer is D. Plotly.
Plotly is a Python library that provides interactive, publication-quality graphs. It is often used for creating complex and interactive plots. Plotly can be used to create line graphs, bar graphs, scatter plots, and more. It also supports 3D plotting.
Bokeh is another Python library that provides interactive data visualization. It is similar to Plotly, but it is more focused on creating web-based visualizations. Bokeh can be used to create interactive dashboards and maps.
Pandas is a Python library that provides data analysis and manipulation tools. It is not primarily a data visualization library, but it can be used to create simple plots. Pandas is often used in conjunction with Plotly or Bokeh to create more complex visualizations.
Seaborn is a Python library that provides statistical graphics. It is built on top of Matplotlib, and it provides a number of features that make it easier to create publication-quality graphs. Seaborn is often used for creating simple, elegant plots.
In conclusion, Plotly is the best Python library for creating complex and interactive plots. It is easy to use and provides a wide range of features.