Which Python code library is commonly used when developing a program to provide complex data visualization?

NumPy adds support for arrays, matrices, and other mathematical functions. Pandas adds support for tables, time series, and can be used to manipulate and clean data. Scikit-learn provides machine learning algorithms. Matplotlib supports data visualization, and is capable of creating simple line plots to complicated 3D and contour plots.